Merge pull request 'okok' (#10) from rc/01012025-retitling into main

Reviewed-on: #10

.env.example

@@ -0,0 +1,44 @@
+# Database Configuration
+# PostgreSQL is recommended (required for OIDC features)
+DATABASE_URL=postgres://raggr:changeme@postgres:5432/raggr
+
+# PostgreSQL credentials (if using docker-compose postgres service)
+POSTGRES_USER=raggr
+POSTGRES_PASSWORD=changeme
+POSTGRES_DB=raggr
+
+# JWT Configuration
+JWT_SECRET_KEY=your-secret-key-here
+
+# Paperless Configuration
+PAPERLESS_TOKEN=your-paperless-token
+BASE_URL=192.168.1.5:8000
+
+# Ollama Configuration
+OLLAMA_URL=http://192.168.1.14:11434
+OLLAMA_HOST=http://192.168.1.14:11434
+
+# ChromaDB Configuration
+CHROMADB_PATH=/path/to/chromadb
+
+# OpenAI Configuration
+OPENAI_API_KEY=your-openai-api-key
+
+# Immich Configuration
+IMMICH_URL=http://192.168.1.5:2283
+IMMICH_API_KEY=your-immich-api-key
+SEARCH_QUERY=simba cat
+DOWNLOAD_DIR=./simba_photos
+
+# OIDC Configuration (Authelia)
+OIDC_ISSUER=https://auth.example.com
+OIDC_CLIENT_ID=simbarag
+OIDC_CLIENT_SECRET=your-client-secret-here
+OIDC_REDIRECT_URI=http://localhost:8080/
+OIDC_USE_DISCOVERY=true
+
+# Optional: Manual OIDC endpoints (if discovery is disabled)
+# OIDC_AUTHORIZATION_ENDPOINT=https://auth.example.com/api/oidc/authorization
+# OIDC_TOKEN_ENDPOINT=https://auth.example.com/api/oidc/token
+# OIDC_USERINFO_ENDPOINT=https://auth.example.com/api/oidc/userinfo
+# OIDC_JWKS_URI=https://auth.example.com/api/oidc/jwks

.gitignore

@@ -9,5 +9,10 @@ wheels/
 # Virtual environments
 .venv
 
-
+# Environment files
 .env
+
+# Database files
+chromadb/
+database/
+*.db

DEV-README.md

@@ -0,0 +1,110 @@
+# Development Environment Setup
+
+This guide explains how to run the application in development mode with hot reload enabled.
+
+## Quick Start
+
+### Development Mode (Hot Reload)
+
+```bash
+# Start all services in development mode
+docker-compose -f docker-compose.dev.yml up --build
+
+# Or run in detached mode
+docker-compose -f docker-compose.dev.yml up -d --build
+```
+
+### Production Mode
+
+```bash
+# Start production services
+docker-compose up --build
+```
+
+## What's Different in Dev Mode?
+
+### Backend (Quart/Flask)
+- **Hot Reload**: Python code changes are automatically detected and the server restarts
+- **Source Mounted**: Your local `services/raggr` directory is mounted as a volume
+- **Debug Mode**: Flask runs with `debug=True` for better error messages
+- **Environment**: `FLASK_ENV=development` and `PYTHONUNBUFFERED=1` for immediate log output
+
+### Frontend (React + rsbuild)
+- **Auto Rebuild**: Frontend automatically rebuilds when files change
+- **Watch Mode**: rsbuild runs in watch mode, rebuilding to `dist/` on save
+- **Source Mounted**: Your local `services/raggr/raggr-frontend` directory is mounted as a volume
+- **Served by Backend**: Built files are served by the backend, no separate dev server
+
+## Ports
+
+- **Application**: 8080 (accessible at `http://localhost:8080` or `http://YOUR_IP:8080`)
+
+The backend serves both the API and the auto-rebuilt frontend, making it accessible from other machines on your network.
+
+## Useful Commands
+
+```bash
+# View logs
+docker-compose -f docker-compose.dev.yml logs -f
+
+# View logs for specific service
+docker-compose -f docker-compose.dev.yml logs -f raggr-backend
+docker-compose -f docker-compose.dev.yml logs -f raggr-frontend
+
+# Rebuild after dependency changes
+docker-compose -f docker-compose.dev.yml up --build
+
+# Stop all services
+docker-compose -f docker-compose.dev.yml down
+
+# Stop and remove volumes (fresh start)
+docker-compose -f docker-compose.dev.yml down -v
+```
+
+## Making Changes
+
+### Backend Changes
+1. Edit any Python file in `services/raggr/`
+2. Save the file
+3. The Quart server will automatically restart
+4. Check logs to confirm reload
+
+### Frontend Changes
+1. Edit any file in `services/raggr/raggr-frontend/src/`
+2. Save the file
+3. The browser will automatically refresh (Hot Module Replacement)
+4. No need to rebuild
+
+### Dependency Changes
+
+**Backend** (pyproject.toml):
+```bash
+# Rebuild the backend service
+docker-compose -f docker-compose.dev.yml up --build raggr-backend
+```
+
+**Frontend** (package.json):
+```bash
+# Rebuild the frontend service
+docker-compose -f docker-compose.dev.yml up --build raggr-frontend
+```
+
+## Troubleshooting
+
+### Port Already in Use
+If you see port binding errors, make sure no other services are running on ports 8080 or 3000.
+
+### Changes Not Reflected
+1. Check if the file is properly mounted (check docker-compose.dev.yml volumes)
+2. Verify the file isn't in an excluded directory (node_modules, __pycache__)
+3. Check container logs for errors
+
+### Frontend Not Connecting to Backend
+Make sure your frontend API calls point to the correct backend URL. If accessing from the same machine, use `http://localhost:8080`. If accessing from another device on the network, use `http://YOUR_IP:8080`.
+
+## Notes
+
+- Both services bind to `0.0.0.0` and expose ports, making them accessible on your network
+- Node modules and Python cache are excluded from volume mounts to use container versions
+- Database and ChromaDB data persist in Docker volumes across restarts
+- Access the app from any device on your network using your host machine's IP address

app.py

@@ -1,44 +0,0 @@
-import os
-
-from flask import Flask, request, jsonify, render_template, send_from_directory
-
-from main import consult_simba_oracle
-
-app = Flask(
-    __name__,
-    static_folder="raggr-frontend/dist/static",
-    template_folder="raggr-frontend/dist",
-)
-
-
-# Serve React static files
-@app.route("/static/<path:filename>")
-def static_files(filename):
-    return send_from_directory(app.static_folder, filename)
-
-
-# Serve the React app for all routes (catch-all)
-@app.route("/", defaults={"path": ""})
-@app.route("/<path:path>")
-def serve_react_app(path):
-    if path and os.path.exists(os.path.join(app.template_folder, path)):
-        return send_from_directory(app.template_folder, path)
-    return render_template("index.html")
-
-
-@app.route("/api/query", methods=["POST"])
-def query():
-    data = request.get_json()
-    query = data.get("query")
-    return jsonify({"response": consult_simba_oracle(query)})
-
-
-@app.route("/api/ingest", methods=["POST"])
-def webhook():
-    data = request.get_json()
-    print(data)
-    return jsonify({"status": "received"})
-
-
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=8080, debug=True)

docker-compose.dev.yml

@@ -0,0 +1,102 @@
+services:
+  postgres:
+    image: postgres:16-alpine
+    environment:
+      - POSTGRES_USER=raggr
+      - POSTGRES_PASSWORD=raggr_dev_password
+      - POSTGRES_DB=raggr
+    ports:
+      - "5432:5432"
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U raggr"]
+      interval: 5s
+      timeout: 5s
+      retries: 5
+
+  raggr-backend:
+    build:
+      context: ./services/raggr
+      dockerfile: Dockerfile.dev
+    image: torrtle/simbarag:dev
+    ports:
+      - "8080:8080"
+    env_file:
+      - .env
+    environment:
+      - PAPERLESS_TOKEN=${PAPERLESS_TOKEN}
+      - BASE_URL=${BASE_URL}
+      - OLLAMA_URL=${OLLAMA_URL:-http://localhost:11434}
+      - CHROMADB_PATH=/app/chromadb
+      - OPENAI_API_KEY=${OPENAI_API_KEY}
+      - JWT_SECRET_KEY=${JWT_SECRET_KEY}
+      - OIDC_ISSUER=${OIDC_ISSUER}
+      - OIDC_CLIENT_ID=${OIDC_CLIENT_ID}
+      - OIDC_CLIENT_SECRET=${OIDC_CLIENT_SECRET}
+      - OIDC_REDIRECT_URI=${OIDC_REDIRECT_URI}
+      - OIDC_USE_DISCOVERY=${OIDC_USE_DISCOVERY:-true}
+      - DATABASE_URL=postgres://raggr:raggr_dev_password@postgres:5432/raggr
+      - FLASK_ENV=development
+      - PYTHONUNBUFFERED=1
+    depends_on:
+      postgres:
+        condition: service_healthy
+    volumes:
+      # Persist data only
+      - chromadb_data:/app/chromadb
+      # Share frontend dist with frontend container
+      - frontend_dist:/app/raggr-frontend/dist
+    develop:
+      watch:
+        # Sync Python source files
+        - action: sync
+          path: ./services/raggr
+          target: /app
+          ignore:
+            - raggr-frontend/
+            - __pycache__/
+            - "*.pyc"
+            - "*.pyo"
+            - "*.pyd"
+            - .git/
+            - chromadb/
+        # Sync+restart on frontend dist changes
+        - action: sync+restart
+          path: ./services/raggr/raggr-frontend/dist
+          target: /app/raggr-frontend/dist
+        # Restart on dependency changes
+        - action: rebuild
+          path: ./services/raggr/pyproject.toml
+        - action: rebuild
+          path: ./services/raggr/uv.lock
+
+  raggr-frontend:
+    build:
+      context: ./services/raggr/raggr-frontend
+      dockerfile: Dockerfile.dev
+    environment:
+      - NODE_ENV=development
+    volumes:
+      # Share dist folder with backend
+      - frontend_dist:/app/dist
+    develop:
+      watch:
+        # Sync frontend source files
+        - action: sync
+          path: ./services/raggr/raggr-frontend
+          target: /app
+          ignore:
+            - node_modules/
+            - dist/
+            - .git/
+        # Rebuild on dependency changes
+        - action: rebuild
+          path: ./services/raggr/raggr-frontend/package.json
+        - action: rebuild
+          path: ./services/raggr/raggr-frontend/yarn.lock
+
+volumes:
+  chromadb_data:
+  postgres_data:
+  frontend_dist:

docker-compose.yml

@@ -1,7 +1,25 @@
 version: "3.8"
 
 services:
+  postgres:
+    image: postgres:16-alpine
+    environment:
+      - POSTGRES_USER=${POSTGRES_USER:-raggr}
+      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-changeme}
+      - POSTGRES_DB=${POSTGRES_DB:-raggr}
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-raggr}"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+    restart: unless-stopped
+
   raggr:
+    build:
+      context: ./services/raggr
+      dockerfile: Dockerfile
     image: torrtle/simbarag:latest
     network_mode: host
     environment:
@@ -10,8 +28,20 @@ services:
       - OLLAMA_URL=${OLLAMA_URL:-http://localhost:11434}
       - CHROMADB_PATH=/app/chromadb
       - OPENAI_API_KEY=${OPENAI_API_KEY}
+      - JWT_SECRET_KEY=${JWT_SECRET_KEY}
+      - OIDC_ISSUER=${OIDC_ISSUER}
+      - OIDC_CLIENT_ID=${OIDC_CLIENT_ID}
+      - OIDC_CLIENT_SECRET=${OIDC_CLIENT_SECRET}
+      - OIDC_REDIRECT_URI=${OIDC_REDIRECT_URI}
+      - OIDC_USE_DISCOVERY=${OIDC_USE_DISCOVERY:-true}
+      - DATABASE_URL=${DATABASE_URL:-postgres://raggr:changeme@postgres:5432/raggr}
+    depends_on:
+      postgres:
+        condition: service_healthy
     volumes:
       - chromadb_data:/app/chromadb
+    restart: unless-stopped
 
 volumes:
   chromadb_data:
+  postgres_data:

llm.py

@@ -1,64 +0,0 @@
-import os
-
-from ollama import Client
-from openai import OpenAI
-
-import logging
-
-logging.basicConfig(level=logging.INFO)
-
-
-class LLMClient:
-    def __init__(self):
-        try:
-            self.ollama_client = Client(
-                host=os.getenv("OLLAMA_URL", "http://localhost:11434"), timeout=10.0
-            )
-            self.ollama_client.chat(
-                model="gemma3:4b", messages=[{"role": "system", "content": "test"}]
-            )
-            self.PROVIDER = "ollama"
-            logging.info("Using Ollama as LLM backend")
-        except Exception as e:
-            print(e)
-            self.openai_client = OpenAI()
-            self.PROVIDER = "openai"
-            logging.info("Using OpenAI as LLM backend")
-
-    def chat(
-        self,
-        prompt: str,
-        system_prompt: str,
-    ):
-        if self.PROVIDER == "ollama":
-            response = self.ollama_client.chat(
-                model="gemma3:4b",
-                messages=[
-                    {
-                        "role": "system",
-                        "content": system_prompt,
-                    },
-                    {"role": "user", "content": prompt},
-                ],
-            )
-            print(response)
-            output = response.message.content
-        elif self.PROVIDER == "openai":
-            response = self.openai_client.responses.create(
-                model="gpt-4o-mini",
-                input=[
-                    {
-                        "role": "system",
-                        "content": system_prompt,
-                    },
-                    {"role": "user", "content": prompt},
-                ],
-            )
-            output = response.output_text
-
-        return output
-
-
-if __name__ == "__main__":
-    client = Client()
-    client.chat(model="gemma3:4b", messages=[{"role": "system", "promp": "hack"}])

pyproject.toml

@@ -1,19 +0,0 @@
-[project]
-name = "raggr"
-version = "0.1.0"
-description = "Add your description here"
-readme = "README.md"
-requires-python = ">=3.13"
-dependencies = [
-    "chromadb>=1.1.0",
-    "python-dotenv>=1.0.0",
-    "flask>=3.1.2",
-    "httpx>=0.28.1",
-    "ollama>=0.6.0",
-    "openai>=2.0.1",
-    "pydantic>=2.11.9",
-    "pillow>=10.0.0",
-    "pymupdf>=1.24.0",
-    "black>=25.9.0",
-    "pillow-heif>=1.1.1",
-]

raggr-frontend/src/App.tsx

@@ -1,155 +0,0 @@
-import { useState } from "react";
-import axios from "axios";
-import ReactMarkdown from "react-markdown";
-
-import "./App.css";
-
-type QuestionAnswer = {
-	question: string;
-	answer: string;
-};
-
-type QuestionBubbleProps = {
-	text: string;
-};
-
-type AnswerBubbleProps = {
-	text: string;
-	loading: string;
-};
-
-type QuestionAnswerPairProps = {
-	question: string;
-	answer: string;
-	loading: boolean;
-};
-
-const QuestionBubble = ({ text }: QuestionBubbleProps) => {
-	return <div className="rounded-md bg-stone-200 p-3">🤦: {text}</div>;
-};
-
-const AnswerBubble = ({ text, loading }: AnswerBubbleProps) => {
-	return (
-		<div className="rounded-md bg-orange-100 p-3">
-			{loading ? (
-				<div className="flex flex-col w-full animate-pulse gap-2">
-					<div className="flex flex-row gap-2 w-full">
-						<div className="bg-gray-400 w-1/2 p-3 rounded-lg" />
-						<div className="bg-gray-400 w-1/2 p-3 rounded-lg" />
-					</div>
-					<div className="flex flex-row gap-2 w-full">
-						<div className="bg-gray-400 w-1/3 p-3 rounded-lg" />
-						<div className="bg-gray-400 w-2/3 p-3 rounded-lg" />
-					</div>
-				</div>
-			) : (
-				<div className="flex flex-col">
-					<ReactMarkdown>{"🐈: " + text}</ReactMarkdown>
-				</div>
-			)}
-		</div>
-	);
-};
-
-const QuestionAnswerPair = ({
-	question,
-	answer,
-	loading,
-}: QuestionAnswerPairProps) => {
-	return (
-		<div className="flex flex-col gap-4">
-			<QuestionBubble text={question} />
-			<AnswerBubble text={answer} loading={loading} />
-		</div>
-	);
-};
-
-const App = () => {
-	const [query, setQuery] = useState<string>("");
-	const [answer, setAnswer] = useState<string>("");
-	const [simbaMode, setSimbaMode] = useState<boolean>(false);
-	const [questionsAnswers, setQuestionsAnswers] = useState<QuestionAnswer[]>(
-		[]
-	);
-
-	const simbaAnswers = ["meow.", "hiss...", "purrrrrr", "yowOWROWWowowr"];
-
-	const handleQuestionSubmit = () => {
-		if (simbaMode) {
-			console.log("simba mode activated");
-			const randomIndex = Math.floor(Math.random() * simbaAnswers.length);
-			const randomElement = simbaAnswers[randomIndex];
-			setAnswer(randomElement);
-			setQuestionsAnswers(
-				questionsAnswers.concat([
-					{
-						question: query,
-						answer: randomElement,
-					},
-				])
-			);
-			return;
-		}
-		const payload = { query: query };
-		axios
-			.post("/api/query", payload)
-			.then((result) =>
-				setQuestionsAnswers(
-					questionsAnswers.concat([
-						{ question: query, answer: result.data.response },
-					])
-				)
-			);
-	};
-	const handleQueryChange = (event) => {
-		setQuery(event.target.value);
-	};
-	return (
-		<div className="h-screen bg-opacity-20">
-			<div className="bg-white/85 h-screen">
-				<div className="flex flex-row justify-center py-4">
-					<div className="flex flex-col gap-4 min-w-xl max-w-xl">
-						<div className="flex flex-row justify-center gap-2 grow">
-							<h1 className="text-3xl">ask simba!</h1>
-						</div>
-						{questionsAnswers.map((qa) => (
-							<QuestionAnswerPair
-								question={qa.question}
-								answer={qa.answer}
-							/>
-						))}
-						<footer className="flex flex-col gap-2 sticky bottom-0">
-							<div className="flex flex-row justify-between gap-2 grow">
-								<textarea
-									type="text"
-									className="p-4 border border-blue-200 rounded-md grow bg-white"
-									onChange={handleQueryChange}
-								/>
-							</div>
-							<div className="flex flex-row justify-between gap-2 grow">
-								<button
-									className="p-4 border border-blue-400 bg-blue-200 hover:bg-blue-400 cursor-pointer rounded-md flex-grow"
-									onClick={() => handleQuestionSubmit()}
-									type="submit"
-								>
-									Submit
-								</button>
-							</div>
-							<div className="flex flex-row justify-center gap-2 grow">
-								<input
-									type="checkbox"
-									onChange={(event) =>
-										setSimbaMode(event.target.checked)
-									}
-								/>
-								<p>simba mode?</p>
-							</div>
-						</footer>
-					</div>
-				</div>
-			</div>
-		</div>
-	);
-};
-
-export default App;

services/raggr/Dockerfile

@@ -23,6 +23,8 @@ RUN uv pip install --system -e .
 
 # Copy application code
 COPY *.py ./
+COPY blueprints ./blueprints
+COPY migrations ./migrations
 COPY startup.sh ./
 RUN chmod +x startup.sh
 
@@ -32,8 +34,8 @@ WORKDIR /app/raggr-frontend
 RUN yarn install && yarn build
 WORKDIR /app
 
-# Create ChromaDB directory
+# Create ChromaDB and database directories
-RUN mkdir -p /app/chromadb
+RUN mkdir -p /app/chromadb /app/database
 
 # Expose port
 EXPOSE 8080

services/raggr/Dockerfile.dev

@@ -0,0 +1,39 @@
+FROM python:3.13-slim
+
+WORKDIR /app
+
+# Install system dependencies and uv
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    && rm -rf /var/lib/apt/lists/* \
+    && curl -LsSf https://astral.sh/uv/install.sh | sh
+
+# Add uv to PATH
+ENV PATH="/root/.local/bin:$PATH"
+
+# Copy dependency files
+COPY pyproject.toml ./
+
+# Install Python dependencies using uv
+RUN uv pip install --system -e .
+
+# Create ChromaDB and database directories
+RUN mkdir -p /app/chromadb /app/database
+
+# Expose port
+EXPOSE 8080
+
+# Copy application source code
+COPY . .
+
+# Make startup script executable
+RUN chmod +x /app/startup-dev.sh
+
+# Set environment variables
+ENV PYTHONPATH=/app
+ENV CHROMADB_PATH=/app/chromadb
+ENV PYTHONUNBUFFERED=1
+
+# Default command
+CMD ["/app/startup-dev.sh"]

services/raggr/MIGRATIONS.md

@@ -0,0 +1,54 @@
+# Database Migrations with Aerich
+
+## Initial Setup (Run Once)
+
+1. Install dependencies:
+```bash
+uv pip install -e .
+```
+
+2. Initialize Aerich:
+```bash
+aerich init-db
+```
+
+This will:
+- Create a `migrations/` directory
+- Generate the initial migration based on your models
+- Create all tables in the database
+
+## When You Add/Change Models
+
+1. Generate a new migration:
+```bash
+aerich migrate --name "describe_your_changes"
+```
+
+Example:
+```bash
+aerich migrate --name "add_user_profile_model"
+```
+
+2. Apply the migration:
+```bash
+aerich upgrade
+```
+
+## Common Commands
+
+- `aerich init-db` - Initialize database (first time only)
+- `aerich migrate --name "description"` - Generate new migration
+- `aerich upgrade` - Apply pending migrations
+- `aerich downgrade` - Rollback last migration
+- `aerich history` - Show migration history
+- `aerich heads` - Show current migration heads
+
+## Docker Setup
+
+In Docker, migrations run automatically on container startup via the startup script.
+
+## Notes
+
+- Migration files are stored in `migrations/models/`
+- Always commit migration files to version control
+- Don't modify migration files manually after they're created

services/raggr/add_user.py

@@ -0,0 +1,146 @@
+# GENERATED BY CLAUDE
+
+import os
+import sys
+import uuid
+import asyncio
+from tortoise import Tortoise
+from blueprints.users.models import User
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# Database configuration with environment variable support
+DATABASE_PATH = os.getenv("DATABASE_PATH", "database/raggr.db")
+DATABASE_URL = os.getenv("DATABASE_URL", f"sqlite://{DATABASE_PATH}")
+
+print(DATABASE_URL)
+
+
+async def add_user(username: str, email: str, password: str):
+    """Add a new user to the database"""
+    await Tortoise.init(
+        db_url=DATABASE_URL,
+        modules={
+            "models": [
+                "blueprints.users.models",
+                "blueprints.conversation.models",
+            ]
+        },
+    )
+
+    try:
+        # Check if user already exists
+        existing_user = await User.filter(email=email).first()
+        if existing_user:
+            print(f"Error: User with email '{email}' already exists!")
+            return False
+
+        existing_username = await User.filter(username=username).first()
+        if existing_username:
+            print(f"Error: Username '{username}' is already taken!")
+            return False
+
+        # Create new user
+        user = User(
+            id=uuid.uuid4(),
+            username=username,
+            email=email,
+        )
+        user.set_password(password)
+        await user.save()
+
+        print("✓ User created successfully!")
+        print(f"  Username: {username}")
+        print(f"  Email: {email}")
+        print(f"  ID: {user.id}")
+        return True
+
+    except Exception as e:
+        print(f"Error creating user: {e}")
+        return False
+    finally:
+        await Tortoise.close_connections()
+
+
+async def list_users():
+    """List all users in the database"""
+    await Tortoise.init(
+        db_url=DATABASE_URL,
+        modules={
+            "models": [
+                "blueprints.users.models",
+                "blueprints.conversation.models",
+            ]
+        },
+    )
+
+    try:
+        users = await User.all()
+        if not users:
+            print("No users found in database.")
+            return
+
+        print(f"\nFound {len(users)} user(s):")
+        print("-" * 60)
+        for user in users:
+            print(f"Username: {user.username}")
+            print(f"Email: {user.email}")
+            print(f"ID: {user.id}")
+            print(f"Created: {user.created_at}")
+            print("-" * 60)
+
+    except Exception as e:
+        print(f"Error listing users: {e}")
+    finally:
+        await Tortoise.close_connections()
+
+
+def print_usage():
+    """Print usage instructions"""
+    print("Usage:")
+    print("  python add_user.py add <username> <email> <password>")
+    print("  python add_user.py list")
+    print("\nExamples:")
+    print("  python add_user.py add ryan ryan@example.com mypassword123")
+    print("  python add_user.py list")
+    print("\nEnvironment Variables:")
+    print("  DATABASE_PATH  - Path to database file (default: database/raggr.db)")
+    print("  DATABASE_URL   - Full database URL (overrides DATABASE_PATH)")
+    print("\n  Example with custom database:")
+    print("  DATABASE_PATH=dev.db python add_user.py list")
+
+
+async def main():
+    if len(sys.argv) < 2:
+        print_usage()
+        sys.exit(1)
+
+    command = sys.argv[1].lower()
+
+    if command == "add":
+        if len(sys.argv) != 5:
+            print("Error: Missing arguments for 'add' command")
+            print_usage()
+            sys.exit(1)
+
+        username = sys.argv[2]
+        email = sys.argv[3]
+        password = sys.argv[4]
+
+        success = await add_user(username, email, password)
+        sys.exit(0 if success else 1)
+
+    elif command == "list":
+        await list_users()
+        sys.exit(0)
+
+    else:
+        print(f"Error: Unknown command '{command}'")
+        print_usage()
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

services/raggr/aerich_config.py

@@ -0,0 +1,20 @@
+import os
+
+# Database configuration with environment variable support
+# Use DATABASE_PATH for relative paths or DATABASE_URL for full connection strings
+DATABASE_PATH = os.getenv("DATABASE_PATH", "database/raggr.db")
+DATABASE_URL = os.getenv("DATABASE_URL", f"sqlite://{DATABASE_PATH}")
+
+TORTOISE_ORM = {
+    "connections": {"default": DATABASE_URL},
+    "apps": {
+        "models": {
+            "models": [
+                "blueprints.conversation.models",
+                "blueprints.users.models",
+                "aerich.models",
+            ],
+            "default_connection": "default",
+        },
+    },
+}

services/raggr/app.py

@@ -0,0 +1,144 @@
+import os
+
+from quart import Quart, jsonify, render_template, request, send_from_directory
+from quart_jwt_extended import JWTManager, get_jwt_identity, jwt_refresh_token_required
+from tortoise.contrib.quart import register_tortoise
+
+import blueprints.conversation
+import blueprints.conversation.logic
+import blueprints.users
+import blueprints.users.models
+from main import consult_simba_oracle
+
+app = Quart(
+    __name__,
+    static_folder="raggr-frontend/dist/static",
+    template_folder="raggr-frontend/dist",
+)
+
+app.config["JWT_SECRET_KEY"] = os.getenv("JWT_SECRET_KEY", "SECRET_KEY")
+jwt = JWTManager(app)
+
+# Register blueprints
+app.register_blueprint(blueprints.users.user_blueprint)
+app.register_blueprint(blueprints.conversation.conversation_blueprint)
+
+
+# Database configuration with environment variable support
+DATABASE_URL = os.getenv(
+    "DATABASE_URL", "postgres://raggr:raggr_dev_password@localhost:5432/raggr"
+)
+
+TORTOISE_CONFIG = {
+    "connections": {"default": DATABASE_URL},
+    "apps": {
+        "models": {
+            "models": [
+                "blueprints.conversation.models",
+                "blueprints.users.models",
+                "aerich.models",
+            ]
+        },
+    },
+}
+
+# Initialize Tortoise ORM
+register_tortoise(
+    app,
+    config=TORTOISE_CONFIG,
+    generate_schemas=False,  # Disabled - using Aerich for migrations
+)
+
+
+# Serve React static files
+@app.route("/static/<path:filename>")
+async def static_files(filename):
+    return await send_from_directory(app.static_folder, filename)
+
+
+# Serve the React app for all routes (catch-all)
+@app.route("/", defaults={"path": ""})
+@app.route("/<path:path>")
+async def serve_react_app(path):
+    if path and os.path.exists(os.path.join(app.template_folder, path)):
+        return await send_from_directory(app.template_folder, path)
+    return await render_template("index.html")
+
+
+@app.route("/api/query", methods=["POST"])
+@jwt_refresh_token_required
+async def query():
+    current_user_uuid = get_jwt_identity()
+    user = await blueprints.users.models.User.get(id=current_user_uuid)
+    data = await request.get_json()
+    query = data.get("query")
+    conversation_id = data.get("conversation_id")
+    conversation = await blueprints.conversation.logic.get_conversation_by_id(
+        conversation_id
+    )
+    await conversation.fetch_related("messages")
+    await blueprints.conversation.logic.add_message_to_conversation(
+        conversation=conversation,
+        message=query,
+        speaker="user",
+        user=user,
+    )
+
+    transcript = await blueprints.conversation.logic.get_conversation_transcript(
+        user=user, conversation=conversation
+    )
+
+    response = consult_simba_oracle(input=query, transcript=transcript)
+    await blueprints.conversation.logic.add_message_to_conversation(
+        conversation=conversation,
+        message=response,
+        speaker="simba",
+        user=user,
+    )
+    return jsonify({"response": response})
+
+
+@app.route("/api/messages", methods=["GET"])
+@jwt_refresh_token_required
+async def get_messages():
+    current_user_uuid = get_jwt_identity()
+    user = await blueprints.users.models.User.get(id=current_user_uuid)
+
+    conversation = await blueprints.conversation.logic.get_conversation_for_user(
+        user=user
+    )
+    # Prefetch related messages
+    await conversation.fetch_related("messages")
+
+    # Manually serialize the conversation with messages
+    messages = []
+    for msg in conversation.messages:
+        messages.append(
+            {
+                "id": str(msg.id),
+                "text": msg.text,
+                "speaker": msg.speaker.value,
+                "created_at": msg.created_at.isoformat(),
+            }
+        )
+
+    name = conversation.name
+    if len(messages) > 8:
+        name = await blueprints.conversation.logic.rename_conversation(
+            user=user,
+            conversation=conversation,
+        )
+
+    return jsonify(
+        {
+            "id": str(conversation.id),
+            "name": name,
+            "messages": messages,
+            "created_at": conversation.created_at.isoformat(),
+            "updated_at": conversation.updated_at.isoformat(),
+        }
+    )
+
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=8080, debug=True)

services/raggr/blueprints/__init__.py

@@ -0,0 +1 @@
+# Blueprints package

services/raggr/blueprints/conversation/__init__.py

@@ -0,0 +1,83 @@
+import datetime
+
+from quart import Blueprint, jsonify
+from quart_jwt_extended import (
+    get_jwt_identity,
+    jwt_refresh_token_required,
+)
+
+import blueprints.users.models
+
+from .logic import rename_conversation
+from .models import (
+    Conversation,
+    PydConversation,
+    PydListConversation,
+)
+
+conversation_blueprint = Blueprint(
+    "conversation_api", __name__, url_prefix="/api/conversation"
+)
+
+
+@conversation_blueprint.route("/<conversation_id>")
+@jwt_refresh_token_required
+async def get_conversation(conversation_id: str):
+    conversation = await Conversation.get(id=conversation_id)
+    current_user_uuid = get_jwt_identity()
+    user = await blueprints.users.models.User.get(id=current_user_uuid)
+    await conversation.fetch_related("messages")
+
+    # Manually serialize the conversation with messages
+    messages = []
+    for msg in conversation.messages:
+        messages.append(
+            {
+                "id": str(msg.id),
+                "text": msg.text,
+                "speaker": msg.speaker.value,
+                "created_at": msg.created_at.isoformat(),
+            }
+        )
+    name = conversation.name
+    if len(messages) > 8 and "datetime" in name.lower():
+        name = await rename_conversation(
+            user=user,
+            conversation=conversation,
+        )
+        print(name)
+
+    return jsonify(
+        {
+            "id": str(conversation.id),
+            "name": name,
+            "messages": messages,
+            "created_at": conversation.created_at.isoformat(),
+            "updated_at": conversation.updated_at.isoformat(),
+        }
+    )
+
+
+@conversation_blueprint.post("/")
+@jwt_refresh_token_required
+async def create_conversation():
+    user_uuid = get_jwt_identity()
+    user = await blueprints.users.models.User.get(id=user_uuid)
+    conversation = await Conversation.create(
+        name=f"{user.username} {datetime.datetime.now().timestamp}",
+        user=user,
+    )
+
+    serialized_conversation = await PydConversation.from_tortoise_orm(conversation)
+    return jsonify(serialized_conversation.model_dump())
+
+
+@conversation_blueprint.get("/")
+@jwt_refresh_token_required
+async def get_all_conversations():
+    user_uuid = get_jwt_identity()
+    user = await blueprints.users.models.User.get(id=user_uuid)
+    conversations = Conversation.filter(user=user)
+    serialized_conversations = await PydListConversation.from_queryset(conversations)
+
+    return jsonify(serialized_conversations.model_dump())

services/raggr/blueprints/conversation/logic.py

@@ -0,0 +1,80 @@
+import tortoise.exceptions
+from langchain_openai import ChatOpenAI
+
+import blueprints.users.models
+
+from .models import Conversation, ConversationMessage, RenameConversationOutputSchema
+
+
+async def create_conversation(name: str = "") -> Conversation:
+    conversation = await Conversation.create(name=name)
+    return conversation
+
+
+async def add_message_to_conversation(
+    conversation: Conversation,
+    message: str,
+    speaker: str,
+    user: blueprints.users.models.User,
+) -> ConversationMessage:
+    print(conversation, message, speaker)
+    message = await ConversationMessage.create(
+        text=message,
+        speaker=speaker,
+        conversation=conversation,
+    )
+
+    return message
+
+
+async def get_the_only_conversation() -> Conversation:
+    try:
+        conversation = await Conversation.all().first()
+        if conversation is None:
+            conversation = await Conversation.create(name="simba_chat")
+    except Exception as _e:
+        conversation = await Conversation.create(name="simba_chat")
+
+    return conversation
+
+
+async def get_conversation_for_user(user: blueprints.users.models.User) -> Conversation:
+    try:
+        return await Conversation.get(user=user)
+    except tortoise.exceptions.DoesNotExist:
+        await Conversation.get_or_create(name=f"{user.username}'s chat", user=user)
+
+        return await Conversation.get(user=user)
+
+
+async def get_conversation_by_id(id: str) -> Conversation:
+    return await Conversation.get(id=id)
+
+
+async def get_conversation_transcript(
+    user: blueprints.users.models.User, conversation: Conversation
+) -> str:
+    messages = []
+    for message in conversation.messages:
+        messages.append(f"{message.speaker} at {message.created_at}: {message.text}")
+
+    return "\n".join(messages)
+
+
+async def rename_conversation(
+    user: blueprints.users.models.User,
+    conversation: Conversation,
+) -> str:
+    messages: str = await get_conversation_transcript(
+        user=user, conversation=conversation
+    )
+
+    llm = ChatOpenAI(model="gpt-4o-mini")
+    structured_llm = llm.with_structured_output(RenameConversationOutputSchema)
+
+    prompt = f"Summarize the following conversation into a sassy one-liner title:\n\n{messages}"
+    response = structured_llm.invoke(prompt)
+    new_name: str = response.get("title")
+    conversation.name = new_name
+    await conversation.save()
+    return new_name

services/raggr/blueprints/conversation/models.py

@@ -0,0 +1,61 @@
+import enum
+from dataclasses import dataclass
+
+from tortoise import fields
+from tortoise.contrib.pydantic import (
+    pydantic_model_creator,
+    pydantic_queryset_creator,
+)
+from tortoise.models import Model
+
+
+@dataclass
+class RenameConversationOutputSchema:
+    title: str
+    justification: str
+
+
+class Speaker(enum.Enum):
+    USER = "user"
+    SIMBA = "simba"
+
+
+class Conversation(Model):
+    id = fields.UUIDField(primary_key=True)
+    name = fields.CharField(max_length=255)
+    created_at = fields.DatetimeField(auto_now_add=True)
+    updated_at = fields.DatetimeField(auto_now=True)
+    user: fields.ForeignKeyRelation = fields.ForeignKeyField(
+        "models.User", related_name="conversations", null=True
+    )
+
+    class Meta:
+        table = "conversations"
+
+
+class ConversationMessage(Model):
+    id = fields.UUIDField(primary_key=True)
+    text = fields.TextField()
+    conversation = fields.ForeignKeyField(
+        "models.Conversation", related_name="messages"
+    )
+    created_at = fields.DatetimeField(auto_now_add=True)
+    speaker = fields.CharEnumField(enum_type=Speaker, max_length=10)
+
+    class Meta:
+        table = "conversation_messages"
+
+
+PydConversationMessage = pydantic_model_creator(ConversationMessage)
+PydConversation = pydantic_model_creator(
+    Conversation, name="Conversation", allow_cycles=True, exclude=("user",)
+)
+PydConversationWithMessages = pydantic_model_creator(
+    Conversation,
+    name="ConversationWithMessages",
+    allow_cycles=True,
+    exclude=("user",),
+    include=("messages",),
+)
+PydListConversation = pydantic_queryset_creator(Conversation)
+PydListConversationMessage = pydantic_queryset_creator(ConversationMessage)

services/raggr/blueprints/users/__init__.py

@@ -0,0 +1,180 @@
+from quart import Blueprint, jsonify, request
+from quart_jwt_extended import (
+    create_access_token,
+    create_refresh_token,
+    jwt_refresh_token_required,
+    get_jwt_identity,
+)
+from .models import User
+from .oidc_service import OIDCUserService
+from oidc_config import oidc_config
+import secrets
+import httpx
+from urllib.parse import urlencode
+import hashlib
+import base64
+
+
+user_blueprint = Blueprint("user_api", __name__, url_prefix="/api/user")
+
+# In-memory storage for OIDC state/PKCE (production: use Redis or database)
+# Format: {state: {"pkce_verifier": str, "redirect_after_login": str}}
+_oidc_sessions = {}
+
+
+@user_blueprint.route("/oidc/login", methods=["GET"])
+async def oidc_login():
+    """
+    Initiate OIDC login flow
+    Generates PKCE parameters and redirects to Authelia
+    """
+    if not oidc_config.validate_config():
+        return jsonify({"error": "OIDC not configured"}), 500
+
+    try:
+        # Generate PKCE parameters
+        code_verifier = secrets.token_urlsafe(64)
+
+        # For PKCE, we need code_challenge = BASE64URL(SHA256(code_verifier))
+        code_challenge = (
+            base64.urlsafe_b64encode(hashlib.sha256(code_verifier.encode()).digest())
+            .decode()
+            .rstrip("=")
+        )
+
+        # Generate state for CSRF protection
+        state = secrets.token_urlsafe(32)
+
+        # Store PKCE verifier and state for callback validation
+        _oidc_sessions[state] = {
+            "pkce_verifier": code_verifier,
+            "redirect_after_login": request.args.get("redirect", "/"),
+        }
+
+        # Get authorization endpoint from discovery
+        discovery = await oidc_config.get_discovery_document()
+        auth_endpoint = discovery.get("authorization_endpoint")
+
+        # Build authorization URL
+        params = {
+            "client_id": oidc_config.client_id,
+            "response_type": "code",
+            "redirect_uri": oidc_config.redirect_uri,
+            "scope": "openid email profile",
+            "state": state,
+            "code_challenge": code_challenge,
+            "code_challenge_method": "S256",
+        }
+
+        auth_url = f"{auth_endpoint}?{urlencode(params)}"
+
+        return jsonify({"auth_url": auth_url})
+    except Exception as e:
+        return jsonify({"error": f"OIDC login failed: {str(e)}"}), 500
+
+
+@user_blueprint.route("/oidc/callback", methods=["GET"])
+async def oidc_callback():
+    """
+    Handle OIDC callback from Authelia
+    Exchanges authorization code for tokens, verifies ID token, and creates/updates user
+    """
+    # Get authorization code and state from callback
+    code = request.args.get("code")
+    state = request.args.get("state")
+    error = request.args.get("error")
+
+    if error:
+        return jsonify({"error": f"OIDC error: {error}"}), 400
+
+    if not code or not state:
+        return jsonify({"error": "Missing code or state"}), 400
+
+    # Validate state and retrieve PKCE verifier
+    session = _oidc_sessions.pop(state, None)
+    if not session:
+        return jsonify({"error": "Invalid or expired state"}), 400
+
+    pkce_verifier = session["pkce_verifier"]
+
+    # Exchange authorization code for tokens
+    discovery = await oidc_config.get_discovery_document()
+    token_endpoint = discovery.get("token_endpoint")
+
+    token_data = {
+        "grant_type": "authorization_code",
+        "code": code,
+        "redirect_uri": oidc_config.redirect_uri,
+        "client_id": oidc_config.client_id,
+        "client_secret": oidc_config.client_secret,
+        "code_verifier": pkce_verifier,
+    }
+
+    # Use client_secret_post method (credentials in POST body)
+    async with httpx.AsyncClient() as client:
+        token_response = await client.post(token_endpoint, data=token_data)
+
+        if token_response.status_code != 200:
+            return jsonify({"error": f"Failed to exchange code for token: {token_response.text}"}), 400
+
+        tokens = token_response.json()
+
+    id_token = tokens.get("id_token")
+    if not id_token:
+        return jsonify({"error": "No ID token received"}), 400
+
+    # Verify ID token
+    try:
+        claims = await oidc_config.verify_id_token(id_token)
+    except Exception as e:
+        return jsonify({"error": f"ID token verification failed: {str(e)}"}), 400
+
+    # Get or create user from OIDC claims
+    user = await OIDCUserService.get_or_create_user_from_oidc(claims)
+
+    # Issue backend JWT tokens
+    access_token = create_access_token(identity=str(user.id))
+    refresh_token = create_refresh_token(identity=str(user.id))
+
+    # Return tokens to frontend
+    # Frontend will handle storing these and redirecting
+    return jsonify(
+        access_token=access_token,
+        refresh_token=refresh_token,
+        user={"id": str(user.id), "username": user.username, "email": user.email},
+    )
+
+
+@user_blueprint.route("/refresh", methods=["POST"])
+@jwt_refresh_token_required
+async def refresh():
+    """Refresh access token (unchanged from original)"""
+    user_id = get_jwt_identity()
+    new_token = create_access_token(identity=user_id)
+    return jsonify(access_token=new_token)
+
+
+# Legacy username/password login - kept for backward compatibility during migration
+@user_blueprint.route("/login", methods=["POST"])
+async def login():
+    """
+    Legacy username/password login
+    This can be removed after full OIDC migration is complete
+    """
+    data = await request.get_json()
+    username = data.get("username")
+    password = data.get("password")
+
+    user = await User.filter(username=username).first()
+
+    if not user or not user.verify_password(password):
+        return jsonify({"msg": "Invalid credentials"}), 401
+
+    access_token = create_access_token(identity=str(user.id))
+    refresh_token = create_refresh_token(identity=str(user.id))
+
+    return jsonify(
+        access_token=access_token,
+        refresh_token=refresh_token,
+        user={"id": str(user.id), "username": user.username},
+    )

services/raggr/blueprints/users/models.py

@@ -0,0 +1,33 @@
+from tortoise.models import Model
+from tortoise import fields
+
+
+import bcrypt
+
+
+class User(Model):
+    id = fields.UUIDField(primary_key=True)
+    username = fields.CharField(max_length=255)
+    password = fields.BinaryField(null=True)  # Hashed - nullable for OIDC users
+    email = fields.CharField(max_length=100, unique=True)
+
+    # OIDC fields
+    oidc_subject = fields.CharField(max_length=255, unique=True, null=True, index=True)  # "sub" claim from OIDC
+    auth_provider = fields.CharField(max_length=50, default="local")  # "local" or "oidc"
+
+    created_at = fields.DatetimeField(auto_now_add=True)
+    updated_at = fields.DatetimeField(auto_now=True)
+
+    class Meta:
+        table = "users"
+
+    def set_password(self, plain_password: str):
+        self.password = bcrypt.hashpw(
+            plain_password.encode("utf-8"),
+            bcrypt.gensalt(),
+        )
+
+    def verify_password(self, plain_password: str):
+        if not self.password:
+            return False
+        return bcrypt.checkpw(plain_password.encode("utf-8"), self.password)

services/raggr/blueprints/users/oidc_service.py

@@ -0,0 +1,76 @@
+"""
+OIDC User Management Service
+"""
+from typing import Dict, Any, Optional
+from uuid import uuid4
+from .models import User
+
+
+class OIDCUserService:
+    """Service for managing OIDC user authentication and provisioning"""
+
+    @staticmethod
+    async def get_or_create_user_from_oidc(claims: Dict[str, Any]) -> User:
+        """
+        Get existing user by OIDC subject, or create new user from OIDC claims
+
+        Args:
+            claims: Decoded OIDC ID token claims
+
+        Returns:
+            User object (existing or newly created)
+        """
+        oidc_subject = claims.get("sub")
+        if not oidc_subject:
+            raise ValueError("No 'sub' claim in ID token")
+
+        # Try to find existing user by OIDC subject
+        user = await User.filter(oidc_subject=oidc_subject).first()
+
+        if user:
+            # Update user info from latest claims (optional)
+            user.email = claims.get("email", user.email)
+            user.username = (
+                claims.get("preferred_username")
+                or claims.get("name")
+                or user.username
+            )
+            await user.save()
+            return user
+
+        # Check if user exists by email (migration case)
+        email = claims.get("email")
+        if email:
+            user = await User.filter(email=email, auth_provider="local").first()
+            if user:
+                # Migrate existing local user to OIDC
+                user.oidc_subject = oidc_subject
+                user.auth_provider = "oidc"
+                user.password = None  # Clear password
+                await user.save()
+                return user
+
+        # Create new user from OIDC claims
+        username = (
+            claims.get("preferred_username")
+            or claims.get("name")
+            or claims.get("email", "").split("@")[0]
+            or f"user_{oidc_subject[:8]}"
+        )
+
+        user = await User.create(
+            id=uuid4(),
+            username=username,
+            email=email
+            or f"{oidc_subject}@oidc.local",  # Fallback if no email claim
+            oidc_subject=oidc_subject,
+            auth_provider="oidc",
+            password=None,
+        )
+
+        return user
+
+    @staticmethod
+    async def find_user_by_oidc_subject(oidc_subject: str) -> Optional[User]:
+        """Find user by OIDC subject ID"""
+        return await User.filter(oidc_subject=oidc_subject).first()

services/raggr/chunker.py

@@ -14,7 +14,7 @@ from llm import LLMClient
 load_dotenv()
 
 ollama_client = Client(
-    host=os.getenv("OLLAMA_HOST", "http://localhost:11434"), timeout=10.0
+    host=os.getenv("OLLAMA_HOST", "http://localhost:11434"), timeout=1.0
 )
 
 

services/raggr/index_immich.py

@@ -27,7 +27,7 @@ headers = {"x-api-key": API_KEY, "Content-Type": "application/json"}
 VISITED = {}
 
 if __name__ == "__main__":
-    conn = sqlite3.connect("./visited.db")
+    conn = sqlite3.connect("./database/visited.db")
     c = conn.cursor()
     c.execute("select immich_id from visited")
     rows = c.fetchall()

services/raggr/llm.py

@@ -0,0 +1,73 @@
+import os
+
+from ollama import Client
+from openai import OpenAI
+
+import logging
+from dotenv import load_dotenv
+
+load_dotenv()
+
+logging.basicConfig(level=logging.INFO)
+
+TRY_OLLAMA = os.getenv("TRY_OLLAMA", False)
+
+
+class LLMClient:
+    def __init__(self):
+        try:
+            self.ollama_client = Client(
+                host=os.getenv("OLLAMA_URL", "http://localhost:11434"), timeout=1.0
+            )
+            self.ollama_client.chat(
+                model="gemma3:4b", messages=[{"role": "system", "content": "test"}]
+            )
+            self.PROVIDER = "ollama"
+            logging.info("Using Ollama as LLM backend")
+        except Exception as e:
+            print(e)
+            self.openai_client = OpenAI()
+            self.PROVIDER = "openai"
+            logging.info("Using OpenAI as LLM backend")
+
+    def chat(
+        self,
+        prompt: str,
+        system_prompt: str,
+    ):
+        # Instituting a fallback if my gaming PC is not on
+        if self.PROVIDER == "ollama":
+            try:
+                response = self.ollama_client.chat(
+                    model="gemma3:4b",
+                    messages=[
+                        {
+                            "role": "system",
+                            "content": system_prompt,
+                        },
+                        {"role": "user", "content": prompt},
+                    ],
+                )
+                output = response.message.content
+                return output
+            except Exception as e:
+                logging.error(f"Could not connect to OLLAMA: {str(e)}")
+
+        response = self.openai_client.responses.create(
+            model="gpt-4o-mini",
+            input=[
+                {
+                    "role": "system",
+                    "content": system_prompt,
+                },
+                {"role": "user", "content": prompt},
+            ],
+        )
+        output = response.output_text
+
+        return output
+
+
+if __name__ == "__main__":
+    client = Client()
+    client.chat(model="gemma3:4b", messages=[{"role": "system", "promp": "hack"}])

services/raggr/main.py

@@ -7,6 +7,8 @@ import argparse
 import chromadb
 import ollama
 
+import time
+
 
 from request import PaperlessNGXService
 from chunker import Chunker
@@ -36,6 +38,7 @@ parser.add_argument("query", type=str, help="questions about simba's health")
 parser.add_argument(
     "--reindex", action="store_true", help="re-index the simba documents"
 )
+parser.add_argument("--classify", action="store_true", help="test classification")
 parser.add_argument("--index", help="index a file")
 
 ppngx = PaperlessNGXService()
@@ -77,7 +80,7 @@ def chunk_data(docs, collection, doctypes):
 
     logging.info(f"chunking {len(docs)} documents")
     texts: list[str] = [doc["content"] for doc in docs]
-    with sqlite3.connect("visited.db") as conn:
+    with sqlite3.connect("database/visited.db") as conn:
         to_insert = []
         c = conn.cursor()
         for index, text in enumerate(texts):
@@ -113,9 +116,22 @@ def chunk_text(texts: list[str], collection):
         )
 
 
-def consult_oracle(input: str, collection):
+def classify_query(query: str, transcript: str) -> bool:
-    import time
+    logging.info("Starting query generation")
+    qg_start = time.time()
+    qg = QueryGenerator()
+    query_type = qg.get_query_type(input=query, transcript=transcript)
+    logging.info(query_type)
+    qg_end = time.time()
+    logging.info(f"Query generation took {qg_end - qg_start:.2f} seconds")
+    return query_type == "Simba"
 
+
+def consult_oracle(
+    input: str,
+    collection,
+    transcript: str = "",
+):
     chunker = Chunker(collection)
 
     start_time = time.time()
@@ -153,7 +169,10 @@ def consult_oracle(input: str, collection):
     logging.info("Starting LLM generation")
     llm_start = time.time()
     system_prompt = "You are a helpful assistant that understands veterinary terms."
-    prompt = f"Using the following data, help answer the user's query by providing as many details as possible. Using this data: {results}. Respond to this prompt: {input}"
+    transcript_prompt = f"Here is the message transcript thus far {transcript}."
+    prompt = f"""Using the following data, help answer the user's query by providing as many details as possible.
+    Using this data: {results}. {transcript_prompt if len(transcript) > 0 else ""}
+    Respond to this prompt: {input}"""
     output = llm_client.chat(prompt=prompt, system_prompt=system_prompt)
     llm_end = time.time()
     logging.info(f"LLM generation took {llm_end - llm_start:.2f} seconds")
@@ -164,6 +183,16 @@ def consult_oracle(input: str, collection):
     return output
 
 
+def llm_chat(input: str, transcript: str = "") -> str:
+    system_prompt = "You are a helpful assistant that understands veterinary terms."
+    transcript_prompt = f"Here is the message transcript thus far {transcript}."
+    prompt = f"""Answer the user in  as if you were a cat named Simba. Don't act too catlike. Be assertive.
+    {transcript_prompt if len(transcript) > 0 else ""}
+    Respond to this prompt: {input}"""
+    output = llm_client.chat(prompt=prompt, system_prompt=system_prompt)
+    return output
+
+
 def paperless_workflow(input):
     # Step 1: Get the text
     ppngx = PaperlessNGXService()
@@ -173,15 +202,24 @@ def paperless_workflow(input):
     consult_oracle(input, simba_docs)
 
 
-def consult_simba_oracle(input: str):
+def consult_simba_oracle(input: str, transcript: str = ""):
+    is_simba_related = classify_query(query=input, transcript=transcript)
+
+    if is_simba_related:
+        logging.info("Query is related to simba")
         return consult_oracle(
             input=input,
             collection=simba_docs,
+            transcript=transcript,
         )
 
+    logging.info("Query is NOT related to simba")
+
+    return llm_chat(input=input, transcript=transcript)
+
 
 def filter_indexed_files(docs):
-    with sqlite3.connect("visited.db") as conn:
+    with sqlite3.connect("database/visited.db") as conn:
         c = conn.cursor()
         c.execute(
             "CREATE TABLE IF NOT EXISTS indexed_documents (id INTEGER PRIMARY KEY AUTOINCREMENT, paperless_id INTEGER)"
@@ -194,12 +232,16 @@ def filter_indexed_files(docs):
     return [doc for doc in docs if doc["id"] not in visited]
 
 
-if __name__ == "__main__":
+def reindex():
-    args = parser.parse_args()
+    with sqlite3.connect("database/visited.db") as conn:
-    if args.reindex:
-        with sqlite3.connect("./visited.db") as conn:
         c = conn.cursor()
         c.execute("DELETE FROM indexed_documents")
+        conn.commit()
+
+    # Delete all documents from the collection
+    all_docs = simba_docs.get()
+    if all_docs["ids"]:
+        simba_docs.delete(ids=all_docs["ids"])
 
     logging.info("Fetching documents from Paperless-NGX")
     ppngx = PaperlessNGXService()
@@ -215,21 +257,20 @@ if __name__ == "__main__":
 
     # Chunk documents
     logging.info("Chunking documents now ...")
-        tag_lookup = ppngx.get_tags()
     doctype_lookup = ppngx.get_doctypes()
     chunk_data(docs, collection=simba_docs, doctypes=doctype_lookup)
     logging.info("Done chunking documents")
 
-    # if args.index:
+
-    # with open(args.index) as file:
+if __name__ == "__main__":
-    # extension = args.index.split(".")[-1]
+    args = parser.parse_args()
-    # if extension == "pdf":
+    if args.reindex:
-    # pdf_path = ppngx.download_pdf_from_id(id=document_id)
+        reindex()
-    # image_paths = pdf_to_image(filepath=pdf_path)
+
-    # print(f"summarizing {file}")
+    if args.classify:
-    # generated_summary = summarize_pdf_image(filepaths=image_paths)
+        consult_simba_oracle(input="yohohoho testing")
-    # elif extension in [".md", ".txt"]:
+        consult_simba_oracle(input="write an email")
-    # chunk_text(texts=[file.readall()], collection=simba_docs)
+        consult_simba_oracle(input="how much does simba weigh")
 
     if args.query:
         logging.info("Consulting oracle ...")

services/raggr/migrations/models/0_20251225052005_init.py

@@ -0,0 +1,71 @@
+from tortoise import BaseDBAsyncClient
+
+RUN_IN_TRANSACTION = True
+
+
+async def upgrade(db: BaseDBAsyncClient) -> str:
+    return """
+        CREATE TABLE IF NOT EXISTS "users" (
+    "id" UUID NOT NULL PRIMARY KEY,
+    "username" VARCHAR(255) NOT NULL,
+    "password" BYTEA,
+    "email" VARCHAR(100) NOT NULL UNIQUE,
+    "oidc_subject" VARCHAR(255) UNIQUE,
+    "auth_provider" VARCHAR(50) NOT NULL DEFAULT 'local',
+    "created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+CREATE INDEX IF NOT EXISTS "idx_users_oidc_su_5aec5a" ON "users" ("oidc_subject");
+CREATE TABLE IF NOT EXISTS "conversations" (
+    "id" UUID NOT NULL PRIMARY KEY,
+    "name" VARCHAR(255) NOT NULL,
+    "created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "updated_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "user_id" UUID REFERENCES "users" ("id") ON DELETE CASCADE
+);
+CREATE TABLE IF NOT EXISTS "conversation_messages" (
+    "id" UUID NOT NULL PRIMARY KEY,
+    "text" TEXT NOT NULL,
+    "created_at" TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    "speaker" VARCHAR(10) NOT NULL,
+    "conversation_id" UUID NOT NULL REFERENCES "conversations" ("id") ON DELETE CASCADE
+);
+COMMENT ON COLUMN "conversation_messages"."speaker" IS 'USER: user\nSIMBA: simba';
+CREATE TABLE IF NOT EXISTS "aerich" (
+    "id" SERIAL NOT NULL PRIMARY KEY,
+    "version" VARCHAR(255) NOT NULL,
+    "app" VARCHAR(100) NOT NULL,
+    "content" JSONB NOT NULL
+);"""
+
+
+async def downgrade(db: BaseDBAsyncClient) -> str:
+    return """
+        """
+
+
+MODELS_STATE = (
+    "eJztmmtP4zgUhv9KlE+MxCLoUGaEViulpex0Z9qO2nR3LjuK3MRtvSROJnYGKsR/X9u5J0"
+    "56AUqL+gXosU9sPz7OeY/Lveq4FrTJSdvFv6BPAEUuVi+VexUDB7I/pO3Higo8L23lBgom"
+    "tnAwMz1FC5gQ6gOTssYpsAlkJgsS00deNBgObJsbXZN1RHiWmgKMfgbQoO4M0jn0WcP3H8"
+    "yMsAXvIIk/ejfGFEHbys0bWXxsYTfowhO28bh7dS168uEmhunagYPT3t6Czl2cdA8CZJ1w"
+    "H942gxj6gEIrsww+y2jZsSmcMTNQP4DJVK3UYMEpCGwOQ/19GmCTM1DESPzH+R/qGngYao"
+    "4WYcpZ3D+Eq0rXLKwqH6r9QRsevb14I1bpEjrzRaMgoj4IR0BB6Cq4piDF7xLK9hz4cpRx"
+    "/wJMNtFNMMaGlGMaQzHIGNBm1FQH3Bk2xDM6Zx8bzWYNxr+1oSDJegmULovrMOr7UVMjbO"
+    "NIU4SmD/mSDUDLIK9YC0UOlMPMexaQWpHrSfzHjgJma7AG2F5Eh6CGr97tdUa61vvMV+IQ"
+    "8tMWiDS9w1sawrooWI8uCluRPET5p6t/UPhH5dug3ynGftJP/6byOYGAugZ2bw1gZc5rbI"
+    "3B5DY28KwNNzbvedjYF93YaPKZfSXQN9bLIBmXR6SRaG5b3MTNkwZPvdMbac7gMMrwrl0f"
+    "ohn+CBcCYZfNA2BTliwi0TGOHrOr0FJrOgsf3CZqJBsUbHVsTZCG2VMbtbWrjioYToB5cw"
+    "t8y6iA6UBCwAySMtBW5Hn9cQjtRJrJWWYFXC984m6+VarYClZuw80wytErNzkNp2gBmK3b"
+    "isbmI9XQWaKCMxBXE8NGdiMPonivRTGFd5KUrzOrHGXcf19EcV0q73zRc1k8lr5HPe3Lm1"
+    "wm/zTo/xl3z0jl9qdB66CQX6OQKitk4kFwIxMDvIDs4MApSYHc7mbcX/joqONRZ3ip8Iz+"
+    "Lx51ey3tUiHImQB1tS3OVZlnpysUmWenlTUmbyocoGyiWe81L3F9ynf+nkpYs3Dh9UgpW7"
+    "w/21mKSzWtJFzW1bbPqeREzSCRbnEtUa3V+NE+aLP912Z8H9e9tMz67ItG28LFpQcIuXV9"
+    "SWS2EAb+Qg4z61WAOVnQsP7Z1ZJeBq/F9WpWbjFkrW5fG36VS964fzZuW1/1jlagCx2A7H"
+    "WiNHF4mhBdfuKfMkDPTlcTPXWqpyR7XGSZBgkm/0FTUjlUkyz6bQS0GKTb5fksB55p+bnh"
+    "+e4vZFWJdjnQkuP23qKq7ZrAfkQaynNtrhKmzeoobZa1+aG4fZ3F7eHrn1exscntcqlIWX"
+    "Y1X/pfh6e5n99lgbTde3kN+sicq5J6Lmo5rqvoQNpnZ0q6Lq64IpZWdBxzIRiinX9RYSe+"
+    "HfmtcXb+7vz924vz96yLmElieVfzMuj29SUVHD8I0muXav2RcTnUb6mcY0djHREXdt9PgM"
+    "9SX7ARKcSS9P7XaNCvvE6NXQogx5gt8LuFTHqs2IjQH7uJtYYiX3X9dz/Fr3kKuZk/oCW7"
+    "eN3mZeHD/9BpOYI="
+)

services/raggr/oidc_config.py

@@ -0,0 +1,113 @@
+"""
+OIDC Configuration for Authelia Integration
+"""
+import os
+from typing import Dict, Any
+from authlib.jose import jwt
+from authlib.jose.errors import JoseError
+import httpx
+
+
+class OIDCConfig:
+    """OIDC Configuration Manager"""
+
+    def __init__(self):
+        # Load from environment variables
+        self.issuer = os.getenv("OIDC_ISSUER")  # e.g., https://auth.example.com
+        self.client_id = os.getenv("OIDC_CLIENT_ID")
+        self.client_secret = os.getenv("OIDC_CLIENT_SECRET")
+        self.redirect_uri = os.getenv(
+            "OIDC_REDIRECT_URI", "http://localhost:8080/api/user/oidc/callback"
+        )
+
+        # OIDC endpoints (can use discovery or manual config)
+        self.use_discovery = os.getenv("OIDC_USE_DISCOVERY", "true").lower() == "true"
+
+        # Manual endpoint configuration (fallback if discovery fails)
+        self.authorization_endpoint = os.getenv("OIDC_AUTHORIZATION_ENDPOINT")
+        self.token_endpoint = os.getenv("OIDC_TOKEN_ENDPOINT")
+        self.userinfo_endpoint = os.getenv("OIDC_USERINFO_ENDPOINT")
+        self.jwks_uri = os.getenv("OIDC_JWKS_URI")
+
+        # Cached discovery document and JWKS
+        self._discovery_doc: Dict[str, Any] | None = None
+        self._jwks: Dict[str, Any] | None = None
+
+    def validate_config(self) -> bool:
+        """Validate that required configuration is present"""
+        if not self.issuer or not self.client_id or not self.client_secret:
+            return False
+        return True
+
+    async def get_discovery_document(self) -> Dict[str, Any]:
+        """Fetch OIDC discovery document from .well-known endpoint"""
+        if self._discovery_doc:
+            return self._discovery_doc
+
+        if not self.use_discovery:
+            # Return manual configuration
+            return {
+                "issuer": self.issuer,
+                "authorization_endpoint": self.authorization_endpoint,
+                "token_endpoint": self.token_endpoint,
+                "userinfo_endpoint": self.userinfo_endpoint,
+                "jwks_uri": self.jwks_uri,
+            }
+
+        discovery_url = f"{self.issuer.rstrip('/')}/.well-known/openid-configuration"
+
+        async with httpx.AsyncClient() as client:
+            response = await client.get(discovery_url)
+            response.raise_for_status()
+            self._discovery_doc = response.json()
+            return self._discovery_doc
+
+    async def get_jwks(self) -> Dict[str, Any]:
+        """Fetch JSON Web Key Set for token verification"""
+        if self._jwks:
+            return self._jwks
+
+        discovery = await self.get_discovery_document()
+        jwks_uri = discovery.get("jwks_uri")
+
+        if not jwks_uri:
+            raise ValueError("No jwks_uri found in discovery document")
+
+        async with httpx.AsyncClient() as client:
+            response = await client.get(jwks_uri)
+            response.raise_for_status()
+            self._jwks = response.json()
+            return self._jwks
+
+    async def verify_id_token(self, id_token: str) -> Dict[str, Any]:
+        """
+        Verify and decode ID token from OIDC provider
+
+        Returns the decoded claims if valid
+        Raises exception if invalid
+        """
+        jwks = await self.get_jwks()
+
+        try:
+            # Verify token signature and claims
+            claims = jwt.decode(
+                id_token,
+                jwks,
+                claims_options={
+                    "iss": {"essential": True, "value": self.issuer},
+                    "aud": {"essential": True, "value": self.client_id},
+                    "exp": {"essential": True},
+                },
+            )
+
+            # Additional validation
+            claims.validate()
+
+            return claims
+
+        except JoseError as e:
+            raise ValueError(f"Invalid ID token: {str(e)}")
+
+
+# Global instance
+oidc_config = OIDCConfig()

services/raggr/pyproject.toml

@@ -0,0 +1,39 @@
+[project]
+name = "raggr"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "chromadb>=1.1.0",
+    "python-dotenv>=1.0.0",
+    "flask>=3.1.2",
+    "httpx>=0.28.1",
+    "ollama>=0.6.0",
+    "openai>=2.0.1",
+    "pydantic>=2.11.9",
+    "pillow>=10.0.0",
+    "pymupdf>=1.24.0",
+    "black>=25.9.0",
+    "pillow-heif>=1.1.1",
+    "flask-jwt-extended>=4.7.1",
+    "bcrypt>=5.0.0",
+    "pony>=0.7.19",
+    "flask-login>=0.6.3",
+    "quart>=0.20.0",
+    "tortoise-orm>=0.25.1",
+    "quart-jwt-extended>=0.1.0",
+    "pre-commit>=4.3.0",
+    "tortoise-orm-stubs>=1.0.2",
+    "aerich>=0.8.0",
+    "tomlkit>=0.13.3",
+    "authlib>=1.3.0",
+    "asyncpg>=0.30.0",
+    "langchain-openai>=1.1.6",
+    "langchain>=1.2.0",
+]
+
+[tool.aerich]
+tortoise_orm = "app.TORTOISE_CONFIG"
+location = "./migrations"
+src_folder = "./."

services/raggr/query.py

@@ -49,11 +49,20 @@ DOCTYPE_OPTIONS = [
     "Letter",
 ]
 
+QUERY_TYPE_OPTIONS = [
+    "Simba",
+    "Other",
+]
+
 
 class DocumentType(BaseModel):
     type: list[str] = Field(description="type of document", enum=DOCTYPE_OPTIONS)
 
 
+class QueryType(BaseModel):
+    type: str = Field(desciption="type of query", enum=QUERY_TYPE_OPTIONS)
+
+
 PROMPT = """
 You are an information specialist that processes user queries. The current year is 2025. The user queries are all about
 a cat, Simba, and its records. The types of records are listed below. Using the query, extract the
@@ -111,6 +120,27 @@ Query: "Who does Simba know?"
 Tags: ["Letter", "Documentation"]
 """
 
+QUERY_TYPE_PROMPT = f"""You are an information specialist that processes user queries.
+A query can have one tag attached from the following options. Based on the query and the transcript which is listed below, determine
+ which of the following options is most appropriate: {",".join(QUERY_TYPE_OPTIONS)}
+
+### Example 1
+Query: "Who is Simba's current vet?"
+Tags: ["Simba"]
+
+
+### Example 2
+Query: "What is the capital of Tokyo?"
+Tags: ["Other"]
+
+
+### Example 3
+Query: "Can you help me write an email?"
+Tags: ["Other"]
+
+TRANSCRIPT:
+"""
+
 
 class QueryGenerator:
     def __init__(self) -> None:
@@ -154,6 +184,33 @@ class QueryGenerator:
         metadata_query = {"document_type": {"$in": type_data["type"]}}
         return metadata_query
 
+    def get_query_type(self, input: str, transcript: str):
+        client = OpenAI()
+        response = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "system",
+                    "content": "You are an information specialist that is really good at deciding what tags a query should have",
+                },
+                {
+                    "role": "user",
+                    "content": f"{QUERY_TYPE_PROMPT}\nTRANSCRIPT:\n{transcript}\nQUERY:{input}",
+                },
+            ],
+            model="gpt-4o",
+            response_format={
+                "type": "json_schema",
+                "json_schema": {
+                    "name": "query_type",
+                    "schema": QueryType.model_json_schema(),
+                },
+            },
+        )
+
+        response_json_str = response.choices[0].message.content
+        type_data = json.loads(response_json_str)
+        return type_data["type"]
+
     def get_query(self, input: str):
         client = OpenAI()
         response = client.responses.parse(

services/raggr/raggr-frontend/.dockerignore

@@ -0,0 +1,9 @@
+.git
+.gitignore
+README.md
+.DS_Store
+node_modules
+dist
+.cache
+coverage
+*.log

services/raggr/raggr-frontend/.gitignore

@@ -6,6 +6,7 @@
 # Dist
 node_modules
 dist/
+.yarn
 
 # Profile
 .rspack-profile-*/

services/raggr/raggr-frontend/.yarnrc.yml

@@ -0,0 +1 @@
+nodeLinker: node-modules

services/raggr/raggr-frontend/Dockerfile.dev

@@ -0,0 +1,18 @@
+FROM node:20-slim
+
+WORKDIR /app
+
+# Copy package files
+COPY package.json yarn.lock* ./
+
+# Install dependencies
+RUN yarn install
+
+# Copy application source code
+COPY . .
+
+# Expose rsbuild dev server port (default 3000)
+EXPOSE 3000
+
+# Default command
+CMD ["sh", "-c", "yarn build && yarn watch:build"]

services/raggr/raggr-frontend/TOKEN_REFRESH_IMPLEMENTATION.md

@@ -0,0 +1,63 @@
+# Token Refresh Implementation
+
+## Overview
+
+The API services now automatically handle token refresh when access tokens expire. This provides a seamless user experience without requiring manual re-authentication.
+
+## How It Works
+
+### 1. **userService.ts**
+
+The `userService` now includes:
+
+- **`refreshToken()`**: Automatically gets the refresh token from localStorage, calls the `/api/user/refresh` endpoint, and updates the access token
+- **`fetchWithAuth()`**: A wrapper around `fetch()` that:
+  1. Automatically adds the Authorization header with the access token
+  2. Detects 401 (Unauthorized) responses
+  3. Automatically refreshes the token using the refresh token
+  4. Retries the original request with the new access token
+  5. Throws an error if refresh fails (e.g., refresh token expired)
+
+### 2. **conversationService.ts**
+
+Now uses `userService.fetchWithAuth()` for all API calls:
+- `sendQuery()` - No longer needs token parameter
+- `getMessages()` - No longer needs token parameter
+
+### 3. **Components Updated**
+
+**ChatScreen.tsx**:
+- Removed manual token handling
+- Now simply calls `conversationService.sendQuery(query)` and `conversationService.getMessages()`
+
+## Benefits
+
+✅ **Automatic token refresh** - Users stay logged in longer
+✅ **Transparent retry logic** - Failed requests due to expired tokens are automatically retried
+✅ **Cleaner code** - Components don't need to manage tokens
+✅ **Better UX** - No interruptions when access token expires
+✅ **Centralized auth logic** - All auth handling in one place
+
+## Error Handling
+
+- If refresh token is missing or invalid, the error is thrown
+- Components can catch these errors and redirect to login
+- LocalStorage is automatically cleared when refresh fails
+
+## Usage Example
+
+```typescript
+// Old way (manual token management)
+const token = localStorage.getItem("access_token");
+const result = await conversationService.sendQuery(query, token);
+
+// New way (automatic token refresh)
+const result = await conversationService.sendQuery(query);
+```
+
+## Token Storage
+
+- **Access Token**: `localStorage.getItem("access_token")`
+- **Refresh Token**: `localStorage.getItem("refresh_token")`
+
+Both are automatically managed by the services.

services/raggr/raggr-frontend/package.json

@@ -6,21 +6,37 @@
   "scripts": {
     "build": "rsbuild build",
     "dev": "rsbuild dev --open",
-    "preview": "rsbuild preview"
+    "preview": "rsbuild preview",
+    "watch": "npm-watch build",
+    "watch:build": "rsbuild build --watch"
   },
   "dependencies": {
     "axios": "^1.12.2",
     "marked": "^16.3.0",
+    "npm-watch": "^0.13.0",
     "react": "^19.1.1",
     "react-dom": "^19.1.1",
-    "react-markdown": "^10.1.0"
+    "react-markdown": "^10.1.0",
+    "watch": "^1.0.2"
   },
   "devDependencies": {
+    "@biomejs/biome": "2.3.10",
     "@rsbuild/core": "^1.5.6",
     "@rsbuild/plugin-react": "^1.4.0",
     "@tailwindcss/postcss": "^4.0.0",
     "@types/react": "^19.1.13",
     "@types/react-dom": "^19.1.9",
     "typescript": "^5.9.2"
+  },
+  "watch": {
+    "build": {
+      "patterns": [
+        "src"
+      ],
+      "extensions": "ts,tsx,css,js,jsx",
+      "delay": 1000,
+      "quiet": false,
+      "inherit": true
+    }
   }
 }

services/raggr/raggr-frontend/rsbuild.config.ts

@@ -3,4 +3,8 @@ import { pluginReact } from '@rsbuild/plugin-react';
 
 export default defineConfig({
   plugins: [pluginReact()],
+  html: {
+    title: 'Raggr',
+    favicon: './src/assets/favicon.svg',
+  },
 });

services/raggr/raggr-frontend/src/App.css

@@ -3,4 +3,5 @@
 body {
 	margin: 0;
 	font-family: Inter, Avenir, Helvetica, Arial, sans-serif;
+	background-color: #F9F5EB;
 }

services/raggr/raggr-frontend/src/App.tsx

@@ -0,0 +1,72 @@
+import { useState, useEffect } from "react";
+
+import "./App.css";
+import { AuthProvider } from "./contexts/AuthContext";
+import { ChatScreen } from "./components/ChatScreen";
+import { LoginScreen } from "./components/LoginScreen";
+import { conversationService } from "./api/conversationService";
+
+const AppContainer = () => {
+  const [isAuthenticated, setAuthenticated] = useState<boolean>(false);
+  const [isChecking, setIsChecking] = useState<boolean>(true);
+
+  useEffect(() => {
+    const checkAuth = async () => {
+      const accessToken = localStorage.getItem("access_token");
+      const refreshToken = localStorage.getItem("refresh_token");
+
+      // No tokens at all, not authenticated
+      if (!accessToken && !refreshToken) {
+        setIsChecking(false);
+        setAuthenticated(false);
+        return;
+      }
+
+      // Try to verify token by making a request
+      try {
+        await conversationService.getAllConversations();
+        // If successful, user is authenticated
+        setAuthenticated(true);
+      } catch (error) {
+        // Token is invalid or expired
+        console.error("Authentication check failed:", error);
+        localStorage.removeItem("access_token");
+        localStorage.removeItem("refresh_token");
+        setAuthenticated(false);
+      } finally {
+        setIsChecking(false);
+      }
+    };
+
+    checkAuth();
+  }, []);
+
+  // Show loading state while checking authentication
+  if (isChecking) {
+    return (
+      <div className="h-screen flex items-center justify-center bg-white/85">
+        <div className="text-xl">Loading...</div>
+      </div>
+    );
+  }
+
+  return (
+    <>
+      {isAuthenticated ? (
+        <ChatScreen setAuthenticated={setAuthenticated} />
+      ) : (
+        <LoginScreen setAuthenticated={setAuthenticated} />
+      )}
+    </>
+  );
+};
+
+const App = () => {
+  return (
+    <AuthProvider>
+      <AppContainer />
+    </AuthProvider>
+  );
+};
+
+export default App;

services/raggr/raggr-frontend/src/api/conversationService.ts

@@ -0,0 +1,115 @@
+import { userService } from "./userService";
+
+interface Message {
+  id: string;
+  text: string;
+  speaker: "user" | "simba";
+  created_at: string;
+}
+
+interface Conversation {
+  id: string;
+  name: string;
+  messages?: Message[];
+  created_at: string;
+  updated_at: string;
+  user_id?: string;
+}
+
+interface QueryRequest {
+  query: string;
+}
+
+interface QueryResponse {
+  response: string;
+}
+
+interface CreateConversationRequest {
+  user_id: string;
+}
+
+class ConversationService {
+  private baseUrl = "/api";
+  private conversationBaseUrl = "/api/conversation";
+
+  async sendQuery(
+    query: string,
+    conversation_id: string,
+  ): Promise<QueryResponse> {
+    const response = await userService.fetchWithRefreshToken(
+      `${this.baseUrl}/query`,
+      {
+        method: "POST",
+        body: JSON.stringify({ query, conversation_id }),
+      },
+    );
+
+    if (!response.ok) {
+      throw new Error("Failed to send query");
+    }
+
+    return await response.json();
+  }
+
+  async getMessages(): Promise<Conversation> {
+    const response = await userService.fetchWithRefreshToken(
+      `${this.baseUrl}/messages`,
+      {
+        method: "GET",
+      },
+    );
+
+    if (!response.ok) {
+      throw new Error("Failed to fetch messages");
+    }
+
+    return await response.json();
+  }
+
+  async getConversation(conversationId: string): Promise<Conversation> {
+    const response = await userService.fetchWithRefreshToken(
+      `${this.conversationBaseUrl}/${conversationId}`,
+      {
+        method: "GET",
+      },
+    );
+
+    if (!response.ok) {
+      throw new Error("Failed to fetch conversation");
+    }
+
+    return await response.json();
+  }
+
+  async createConversation(): Promise<Conversation> {
+    const response = await userService.fetchWithRefreshToken(
+      `${this.conversationBaseUrl}/`,
+      {
+        method: "POST",
+      },
+    );
+
+    if (!response.ok) {
+      throw new Error("Failed to create conversation");
+    }
+
+    return await response.json();
+  }
+
+  async getAllConversations(): Promise<Conversation[]> {
+    const response = await userService.fetchWithRefreshToken(
+      `${this.conversationBaseUrl}/`,
+      {
+        method: "GET",
+      },
+    );
+
+    if (!response.ok) {
+      throw new Error("Failed to fetch conversations");
+    }
+
+    return await response.json();
+  }
+}
+
+export const conversationService = new ConversationService();

services/raggr/raggr-frontend/src/api/oidcService.ts

@@ -0,0 +1,94 @@
+/**
+ * OIDC Authentication Service
+ * Handles OAuth 2.0 Authorization Code flow with PKCE
+ */
+
+interface OIDCLoginResponse {
+  auth_url: string;
+}
+
+interface OIDCCallbackResponse {
+  access_token: string;
+  refresh_token: string;
+  user: {
+    id: string;
+    username: string;
+    email: string;
+  };
+}
+
+class OIDCService {
+  private baseUrl = "/api/user/oidc";
+
+  /**
+   * Initiate OIDC login flow
+   * Returns authorization URL to redirect user to
+   */
+  async initiateLogin(redirectAfterLogin: string = "/"): Promise<string> {
+    const response = await fetch(
+      `${this.baseUrl}/login?redirect=${encodeURIComponent(redirectAfterLogin)}`,
+      {
+        method: "GET",
+        headers: { "Content-Type": "application/json" },
+      }
+    );
+
+    if (!response.ok) {
+      throw new Error("Failed to initiate OIDC login");
+    }
+
+    const data: OIDCLoginResponse = await response.json();
+    return data.auth_url;
+  }
+
+  /**
+   * Handle OIDC callback
+   * Exchanges authorization code for tokens
+   */
+  async handleCallback(
+    code: string,
+    state: string
+  ): Promise<OIDCCallbackResponse> {
+    const response = await fetch(
+      `${this.baseUrl}/callback?code=${encodeURIComponent(code)}&state=${encodeURIComponent(state)}`,
+      {
+        method: "GET",
+        headers: { "Content-Type": "application/json" },
+      }
+    );
+
+    if (!response.ok) {
+      throw new Error("OIDC callback failed");
+    }
+
+    return await response.json();
+  }
+
+  /**
+   * Extract OIDC callback parameters from URL
+   */
+  getCallbackParamsFromURL(): { code: string; state: string } | null {
+    const params = new URLSearchParams(window.location.search);
+    const code = params.get("code");
+    const state = params.get("state");
+
+    if (code && state) {
+      return { code, state };
+    }
+
+    return null;
+  }
+
+  /**
+   * Clear callback parameters from URL without reload
+   */
+  clearCallbackParams(): void {
+    const url = new URL(window.location.href);
+    url.searchParams.delete("code");
+    url.searchParams.delete("state");
+    url.searchParams.delete("error");
+    window.history.replaceState({}, "", url.toString());
+  }
+}
+
+export const oidcService = new OIDCService();

services/raggr/raggr-frontend/src/api/userService.ts

@@ -0,0 +1,139 @@
+interface LoginResponse {
+  access_token: string;
+  refresh_token: string;
+  user: {
+    id: string;
+    username: string;
+    email?: string;
+  };
+}
+
+interface RefreshResponse {
+  access_token: string;
+}
+
+class UserService {
+  private baseUrl = "/api/user";
+
+  async login(username: string, password: string): Promise<LoginResponse> {
+    const response = await fetch(`${this.baseUrl}/login`, {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify({ username, password }),
+    });
+
+    if (!response.ok) {
+      throw new Error("Invalid credentials");
+    }
+
+    return await response.json();
+  }
+
+  async refreshToken(): Promise<string> {
+    const refreshToken = localStorage.getItem("refresh_token");
+
+    if (!refreshToken) {
+      throw new Error("No refresh token available");
+    }
+
+    const response = await fetch(`${this.baseUrl}/refresh`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+        Authorization: `Bearer ${refreshToken}`,
+      },
+    });
+
+    if (!response.ok) {
+      // Refresh token is invalid or expired, clear storage
+      localStorage.removeItem("access_token");
+      localStorage.removeItem("refresh_token");
+      throw new Error("Failed to refresh token");
+    }
+
+    const data: RefreshResponse = await response.json();
+    localStorage.setItem("access_token", data.access_token);
+    return data.access_token;
+  }
+
+  async validateToken(): Promise<boolean> {
+    const refreshToken = localStorage.getItem("refresh_token");
+
+    if (!refreshToken) {
+      return false;
+    }
+
+    try {
+      await this.refreshToken();
+      return true;
+    } catch (error) {
+      return false;
+    }
+  }
+
+  async fetchWithAuth(
+    url: string,
+    options: RequestInit = {},
+  ): Promise<Response> {
+    const accessToken = localStorage.getItem("access_token");
+
+    // Add authorization header
+    const headers = {
+      "Content-Type": "application/json",
+      ...(options.headers || {}),
+      ...(accessToken && { Authorization: `Bearer ${accessToken}` }),
+    };
+
+    let response = await fetch(url, { ...options, headers });
+
+    // If unauthorized, try refreshing the token
+    if (response.status === 401) {
+      try {
+        const newAccessToken = await this.refreshToken();
+
+        // Retry the request with new token
+        headers.Authorization = `Bearer ${newAccessToken}`;
+        response = await fetch(url, { ...options, headers });
+      } catch (error) {
+        // Refresh failed, redirect to login or throw error
+        throw new Error("Session expired. Please log in again.");
+      }
+    }
+
+    return response;
+  }
+
+  async fetchWithRefreshToken(
+    url: string,
+    options: RequestInit = {},
+  ): Promise<Response> {
+    const refreshToken = localStorage.getItem("refresh_token");
+
+    // Add authorization header
+    const headers = {
+      "Content-Type": "application/json",
+      ...(options.headers || {}),
+      ...(refreshToken && { Authorization: `Bearer ${refreshToken}` }),
+    };
+
+    let response = await fetch(url, { ...options, headers });
+
+    // If unauthorized, try refreshing the token
+    if (response.status === 401) {
+      try {
+        const newAccessToken = await this.refreshToken();
+
+        // Retry the request with new token
+        headers.Authorization = `Bearer ${newAccessToken}`;
+        response = await fetch(url, { ...options, headers });
+      } catch (error) {
+        // Refresh failed, redirect to login or throw error
+        throw new Error("Session expired. Please log in again.");
+      }
+    }
+
+    return response;
+  }
+}
+
+export const userService = new UserService();

services/raggr/raggr-frontend/src/assets/favicon.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 100 100">
+  <text y="80" font-size="80" font-family="system-ui, -apple-system, sans-serif">🐱</text>
+</svg>

services/raggr/raggr-frontend/src/components/AnswerBubble.tsx

@@ -0,0 +1,31 @@
+import ReactMarkdown from "react-markdown";
+
+type AnswerBubbleProps = {
+  text: string;
+  loading?: boolean;
+};
+
+export const AnswerBubble = ({ text, loading }: AnswerBubbleProps) => {
+  return (
+    <div className="rounded-md bg-orange-100 p-3 sm:p-4 w-2/3">
+      {loading ? (
+        <div className="flex flex-col w-full animate-pulse gap-2">
+          <div className="flex flex-row gap-2 w-full">
+            <div className="bg-gray-400 w-1/2 p-3 rounded-lg" />
+            <div className="bg-gray-400 w-1/2 p-3 rounded-lg" />
+          </div>
+          <div className="flex flex-row gap-2 w-full">
+            <div className="bg-gray-400 w-1/3 p-3 rounded-lg" />
+            <div className="bg-gray-400 w-2/3 p-3 rounded-lg" />
+          </div>
+        </div>
+      ) : (
+        <div className=" flex flex-col break-words overflow-wrap-anywhere text-sm sm:text-base [&>*]:break-words">
+          <ReactMarkdown>
+            {"🐈: " + text}
+          </ReactMarkdown>
+        </div>
+      )}
+    </div>
+  );
+};

services/raggr/raggr-frontend/src/components/ChatScreen.tsx

@@ -0,0 +1,303 @@
+import { useEffect, useState, useRef } from "react";
+import { conversationService } from "../api/conversationService";
+import { QuestionBubble } from "./QuestionBubble";
+import { AnswerBubble } from "./AnswerBubble";
+import { MessageInput } from "./MessageInput";
+import { ConversationList } from "./ConversationList";
+import catIcon from "../assets/cat.png";
+
+type Message = {
+  text: string;
+  speaker: "simba" | "user";
+};
+
+type QuestionAnswer = {
+  question: string;
+  answer: string;
+};
+
+type Conversation = {
+  title: string;
+  id: string;
+};
+
+type ChatScreenProps = {
+  setAuthenticated: (isAuth: boolean) => void;
+};
+
+export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
+  const [query, setQuery] = useState<string>("");
+  const [answer, setAnswer] = useState<string>("");
+  const [simbaMode, setSimbaMode] = useState<boolean>(false);
+  const [questionsAnswers, setQuestionsAnswers] = useState<QuestionAnswer[]>(
+    [],
+  );
+  const [messages, setMessages] = useState<Message[]>([]);
+  const [conversations, setConversations] = useState<Conversation[]>([
+    { title: "simba meow meow", id: "uuid" },
+  ]);
+  const [showConversations, setShowConversations] = useState<boolean>(false);
+  const [selectedConversation, setSelectedConversation] =
+    useState<Conversation | null>(null);
+  const [sidebarCollapsed, setSidebarCollapsed] = useState<boolean>(false);
+
+  const messagesEndRef = useRef<HTMLDivElement>(null);
+  const simbaAnswers = ["meow.", "hiss...", "purrrrrr", "yowOWROWWowowr"];
+
+  const scrollToBottom = () => {
+    messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
+  };
+
+  const handleSelectConversation = (conversation: Conversation) => {
+    setShowConversations(false);
+    setSelectedConversation(conversation);
+    const loadMessages = async () => {
+      try {
+        const fetchedConversation = await conversationService.getConversation(
+          conversation.id,
+        );
+        setMessages(
+          fetchedConversation.messages.map((message) => ({
+            text: message.text,
+            speaker: message.speaker,
+          })),
+        );
+      } catch (error) {
+        console.error("Failed to load messages:", error);
+      }
+    };
+    loadMessages();
+  };
+
+  const loadConversations = async () => {
+    try {
+      const fetchedConversations =
+        await conversationService.getAllConversations();
+      const parsedConversations = fetchedConversations.map((conversation) => ({
+        id: conversation.id,
+        title: conversation.name,
+      }));
+      setConversations(parsedConversations);
+      setSelectedConversation(parsedConversations[0]);
+      console.log(parsedConversations);
+      console.log("JELLYFISH@");
+    } catch (error) {
+      console.error("Failed to load messages:", error);
+    }
+  };
+
+  const handleCreateNewConversation = async () => {
+    const newConversation = await conversationService.createConversation();
+    await loadConversations();
+    setSelectedConversation({
+      title: newConversation.name,
+      id: newConversation.id,
+    });
+  };
+
+  useEffect(() => {
+    loadConversations();
+  }, []);
+
+  useEffect(() => {
+    scrollToBottom();
+  }, [messages]);
+
+  useEffect(() => {
+    const loadMessages = async () => {
+      console.log(selectedConversation);
+      console.log("JELLYFISH");
+      if (selectedConversation == null) return;
+      try {
+        const conversation = await conversationService.getConversation(
+          selectedConversation.id,
+        );
+        // Update the conversation title in case it changed
+        setSelectedConversation({
+          id: conversation.id,
+          title: conversation.name,
+        });
+        setMessages(
+          conversation.messages.map((message) => ({
+            text: message.text,
+            speaker: message.speaker,
+          })),
+        );
+      } catch (error) {
+        console.error("Failed to load messages:", error);
+      }
+    };
+    loadMessages();
+  }, [selectedConversation?.id]);
+
+  const handleQuestionSubmit = async () => {
+    if (!query.trim()) return; // Don't submit empty messages
+
+    const currMessages = messages.concat([{ text: query, speaker: "user" }]);
+    setMessages(currMessages);
+    setQuery(""); // Clear input immediately after submission
+
+    if (simbaMode) {
+      console.log("simba mode activated");
+      const randomIndex = Math.floor(Math.random() * simbaAnswers.length);
+      const randomElement = simbaAnswers[randomIndex];
+      setAnswer(randomElement);
+      setQuestionsAnswers(
+        questionsAnswers.concat([
+          {
+            question: query,
+            answer: randomElement,
+          },
+        ]),
+      );
+      return;
+    }
+
+    try {
+      const result = await conversationService.sendQuery(
+        query,
+        selectedConversation.id,
+      );
+      setQuestionsAnswers(
+        questionsAnswers.concat([{ question: query, answer: result.response }]),
+      );
+      setMessages(
+        currMessages.concat([{ text: result.response, speaker: "simba" }]),
+      );
+    } catch (error) {
+      console.error("Failed to send query:", error);
+      // If session expired, redirect to login
+      if (error instanceof Error && error.message.includes("Session expired")) {
+        setAuthenticated(false);
+      }
+    }
+  };
+
+  const handleQueryChange = (event: React.ChangeEvent<HTMLTextAreaElement>) => {
+    setQuery(event.target.value);
+  };
+
+  const handleKeyDown = (event: React.KeyboardEvent<HTMLTextAreaElement>) => {
+    // Submit on Enter, but allow Shift+Enter for new line
+    if (event.key === "Enter" && !event.shiftKey) {
+      event.preventDefault();
+      handleQuestionSubmit();
+    }
+  };
+
+  return (
+    <div className="h-screen flex flex-row bg-[#F9F5EB]">
+      {/* Sidebar - Expanded */}
+      <aside
+        className={`hidden md:flex md:flex-col bg-[#F9F5EB] border-r border-gray-200 p-4 overflow-y-auto transition-all duration-300 ${sidebarCollapsed ? "w-20" : "w-64"}`}
+      >
+        {!sidebarCollapsed ? (
+          <div className="bg-[#F9F5EB]">
+            <div className="flex flex-row items-center gap-2 mb-6">
+              <img
+                src={catIcon}
+                alt="Simba"
+                className="cursor-pointer hover:opacity-80"
+                onClick={() => setSidebarCollapsed(true)}
+              />
+              <h2 className="text-3xl bg-[#F9F5EB] font-semibold">asksimba!</h2>
+            </div>
+            <ConversationList
+              conversations={conversations}
+              onCreateNewConversation={handleCreateNewConversation}
+              onSelectConversation={handleSelectConversation}
+            />
+            <div className="mt-auto pt-4">
+              <button
+                className="w-full p-2 border border-red-400 bg-red-200 hover:bg-red-400 cursor-pointer rounded-md text-sm"
+                onClick={() => setAuthenticated(false)}
+              >
+                logout
+              </button>
+            </div>
+          </div>
+        ) : (
+          <div className="flex flex-col items-center gap-4">
+            <img
+              src={catIcon}
+              alt="Simba"
+              className="cursor-pointer hover:opacity-80"
+              onClick={() => setSidebarCollapsed(false)}
+            />
+          </div>
+        )}
+      </aside>
+
+      {/* Main chat area */}
+      <div className="flex-1 flex flex-col h-screen overflow-hidden">
+        {/* Mobile header */}
+        <header className="md:hidden flex flex-row justify-between items-center gap-3 p-4 border-b border-gray-200 bg-white">
+          <div className="flex flex-row items-center gap-2">
+            <img src={catIcon} alt="Simba" className="w-10 h-10" />
+            <h1 className="text-xl">asksimba!</h1>
+          </div>
+          <div className="flex flex-row gap-2">
+            <button
+              className="p-2 border border-green-400 bg-green-200 hover:bg-green-400 cursor-pointer rounded-md text-sm"
+              onClick={() => setShowConversations(!showConversations)}
+            >
+              {showConversations ? "hide" : "show"}
+            </button>
+            <button
+              className="p-2 border border-red-400 bg-red-200 hover:bg-red-400 cursor-pointer rounded-md text-sm"
+              onClick={() => setAuthenticated(false)}
+            >
+              logout
+            </button>
+          </div>
+        </header>
+
+        {/* Messages area */}
+        {selectedConversation && (
+          <div className="sticky top-0 mx-auto w-full">
+            <div className="bg-[#F9F5EB] text-black px-6 w-full py-3">
+              <h2 className="text-lg font-semibold">
+                {selectedConversation.title || "Untitled Conversation"}
+              </h2>
+            </div>
+          </div>
+        )}
+        <div className="flex-1 overflow-y-auto relative px-4 py-6">
+          {/* Floating conversation name */}
+
+          <div className="max-w-2xl mx-auto flex flex-col gap-4">
+            {showConversations && (
+              <div className="md:hidden">
+                <ConversationList
+                  conversations={conversations}
+                  onCreateNewConversation={handleCreateNewConversation}
+                  onSelectConversation={handleSelectConversation}
+                />
+              </div>
+            )}
+            {messages.map((msg, index) => {
+              if (msg.speaker === "simba") {
+                return <AnswerBubble key={index} text={msg.text} />;
+              }
+              return <QuestionBubble key={index} text={msg.text} />;
+            })}
+            <div ref={messagesEndRef} />
+          </div>
+        </div>
+
+        {/* Input area */}
+        <footer className="p-4 bg-[#F9F5EB]">
+          <div className="max-w-2xl mx-auto">
+            <MessageInput
+              query={query}
+              handleQueryChange={handleQueryChange}
+              handleKeyDown={handleKeyDown}
+              handleQuestionSubmit={handleQuestionSubmit}
+              setSimbaMode={setSimbaMode}
+            />
+          </div>
+        </footer>
+      </div>
+    </div>
+  );
+};

services/raggr/raggr-frontend/src/components/ConversationList.tsx

@@ -0,0 +1,69 @@
+import { useState, useEffect } from "react";
+
+import { conversationService } from "../api/conversationService";
+type Conversation = {
+  title: string;
+  id: string;
+};
+
+type ConversationProps = {
+  conversations: Conversation[];
+  onSelectConversation: (conversation: Conversation) => void;
+  onCreateNewConversation: () => void;
+};
+
+export const ConversationList = ({
+  conversations,
+  onSelectConversation,
+  onCreateNewConversation,
+}: ConversationProps) => {
+  const [conservations, setConversations] = useState(conversations);
+
+  useEffect(() => {
+    const loadConversations = async () => {
+      try {
+        let fetchedConversations =
+          await conversationService.getAllConversations();
+
+        if (conversations.length == 0) {
+          await conversationService.createConversation();
+          fetchedConversations =
+            await conversationService.getAllConversations();
+        }
+        setConversations(
+          fetchedConversations.map((conversation) => ({
+            id: conversation.id,
+            title: conversation.name,
+          })),
+        );
+      } catch (error) {
+        console.error("Failed to load messages:", error);
+      }
+    };
+    loadConversations();
+  }, []);
+
+  return (
+    <div className="bg-indigo-300 rounded-md p-3 sm:p-4 flex flex-col gap-1">
+      {conservations.map((conversation) => {
+        return (
+          <div
+            key={conversation.id}
+            className="border-blue-400 bg-indigo-300 hover:bg-indigo-200 cursor-pointer rounded-md p-3 min-h-[44px] flex items-center"
+            onClick={() => onSelectConversation(conversation)}
+          >
+            <p className="text-sm sm:text-base truncate w-full">
+              {conversation.title}
+            </p>
+          </div>
+        );
+      })}
+      <div
+        className="border-blue-400 bg-indigo-300 hover:bg-indigo-200 cursor-pointer rounded-md p-3 min-h-[44px] flex items-center"
+        onClick={() => onCreateNewConversation()}
+      >
+        <p className="text-sm sm:text-base"> + Start a new thread</p>
+      </div>
+    </div>
+  );
+};

services/raggr/raggr-frontend/src/components/ConversationMenu.tsx

@@ -0,0 +1,24 @@
+type Conversation = {
+  title: string;
+  id: string;
+};
+
+type ConversationMenuProps = {
+  conversations: Conversation[];
+};
+
+export const ConversationMenu = ({ conversations }: ConversationMenuProps) => {
+  return (
+    <div className="absolute bg-white w-md rounded-md shadow-xl m-4 p-4">
+      <p className="py-2 px-4 rounded-md w-full text-xl font-bold">askSimba!</p>
+      {conversations.map((conversation) => (
+        <p
+          key={conversation.id}
+          className="py-2 px-4 rounded-md hover:bg-stone-200 w-full text-xl font-bold cursor-pointer"
+        >
+          {conversation.title}
+        </p>
+      ))}
+    </div>
+  );
+};

services/raggr/raggr-frontend/src/components/LoginScreen.tsx

@@ -0,0 +1,130 @@
+import { useState, useEffect } from "react";
+import { userService } from "../api/userService";
+import { oidcService } from "../api/oidcService";
+
+type LoginScreenProps = {
+  setAuthenticated: (isAuth: boolean) => void;
+};
+
+export const LoginScreen = ({ setAuthenticated }: LoginScreenProps) => {
+  const [error, setError] = useState<string>("");
+  const [isChecking, setIsChecking] = useState<boolean>(true);
+  const [isLoggingIn, setIsLoggingIn] = useState<boolean>(false);
+
+  useEffect(() => {
+    const initAuth = async () => {
+      // First, check for OIDC callback parameters
+      const callbackParams = oidcService.getCallbackParamsFromURL();
+
+      if (callbackParams) {
+        // Handle OIDC callback
+        try {
+          setIsLoggingIn(true);
+          const result = await oidcService.handleCallback(
+            callbackParams.code,
+            callbackParams.state
+          );
+
+          // Store tokens
+          localStorage.setItem("access_token", result.access_token);
+          localStorage.setItem("refresh_token", result.refresh_token);
+
+          // Clear URL parameters
+          oidcService.clearCallbackParams();
+
+          setAuthenticated(true);
+          setIsChecking(false);
+          return;
+        } catch (err) {
+          console.error("OIDC callback error:", err);
+          setError("Login failed. Please try again.");
+          oidcService.clearCallbackParams();
+          setIsLoggingIn(false);
+          setIsChecking(false);
+          return;
+        }
+      }
+
+      // Check if user is already authenticated
+      const isValid = await userService.validateToken();
+      if (isValid) {
+        setAuthenticated(true);
+      }
+      setIsChecking(false);
+    };
+
+    initAuth();
+  }, [setAuthenticated]);
+
+  const handleOIDCLogin = async () => {
+    try {
+      setIsLoggingIn(true);
+      setError("");
+
+      // Get authorization URL from backend
+      const authUrl = await oidcService.initiateLogin();
+
+      // Redirect to Authelia
+      window.location.href = authUrl;
+    } catch (err) {
+      setError("Failed to initiate login. Please try again.");
+      console.error("OIDC login error:", err);
+      setIsLoggingIn(false);
+    }
+  };
+
+  // Show loading state while checking authentication or processing callback
+  if (isChecking || isLoggingIn) {
+    return (
+      <div className="h-screen bg-opacity-20">
+        <div className="bg-white/85 h-screen flex items-center justify-center">
+          <div className="text-center">
+            <p className="text-lg sm:text-xl">
+              {isLoggingIn ? "Logging in..." : "Checking authentication..."}
+            </p>
+          </div>
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className="h-screen bg-opacity-20">
+      <div className="bg-white/85 h-screen">
+        <div className="flex flex-row justify-center py-4">
+          <div className="flex flex-col gap-4 w-full px-4 sm:w-11/12 sm:max-w-2xl lg:max-w-4xl sm:px-0">
+            <div className="flex flex-col gap-4">
+              <div className="flex flex-grow justify-center w-full bg-amber-400 p-2">
+                <h1 className="text-base sm:text-xl font-bold text-center">
+                  I AM LOOKING FOR A DESIGNER. THIS APP WILL REMAIN UGLY UNTIL A
+                  DESIGNER COMES.
+                </h1>
+              </div>
+              <header className="flex flex-row justify-center gap-2 grow sticky top-0 z-10 bg-white">
+                <h1 className="text-2xl sm:text-3xl">ask simba!</h1>
+              </header>
+
+              {error && (
+                <div className="text-red-600 font-semibold text-sm sm:text-base bg-red-50 p-3 rounded-md">
+                  {error}
+                </div>
+              )}
+
+              <div className="text-center text-sm sm:text-base text-gray-600 py-2">
+                Click below to login with Authelia
+              </div>
+            </div>
+
+            <button
+              className="p-3 sm:p-4 min-h-[44px] border border-blue-400 bg-blue-200 hover:bg-blue-400 cursor-pointer rounded-md flex-grow text-sm sm:text-base font-semibold"
+              onClick={handleOIDCLogin}
+              disabled={isLoggingIn}
+            >
+              {isLoggingIn ? "Redirecting..." : "Login with Authelia"}
+            </button>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};

services/raggr/raggr-frontend/src/components/MessageInput.tsx

@@ -0,0 +1,43 @@
+import { useEffect, useState, useRef } from "react";
+
+type MessageInputProps = {
+    handleQueryChange: (event: React.ChangeEvent<HTMLTextAreaElement>) => void;
+    handleKeyDown: (event: React.ChangeEvent<HTMLTextAreaElement>) => void;
+    handleQuestionSubmit: () => void;
+    setSimbaMode: (sdf: boolean) => void;
+    query: string;
+}
+
+export const MessageInput = ({query, handleKeyDown, handleQueryChange, handleQuestionSubmit, setSimbaMode}: MessageInputProps) => {
+    return (
+        <div className="flex flex-col gap-4 sticky bottom-0 bg-[#3D763A] p-6 rounded-xl">
+            <div className="flex flex-row justify-between grow">
+                <textarea
+                    className="p-3 sm:p-4 border border-blue-200 rounded-md grow bg-[#F9F5EB] min-h-[44px] resize-y"
+                    onChange={handleQueryChange}
+                    onKeyDown={handleKeyDown}
+                    value={query}
+                    rows={2}
+                    placeholder="Type your message... (Press Enter to send, Shift+Enter for new line)"
+                />
+            </div>
+            <div className="flex flex-row justify-between gap-2 grow">
+                <button
+                    className="p-3 sm:p-4 min-h-[44px] border border-blue-400 bg-[#EDA541] hover:bg-blue-400 cursor-pointer rounded-md flex-grow text-sm sm:text-base"
+                    onClick={() => handleQuestionSubmit()}
+                    type="submit"
+                >
+                    Submit
+                </button>
+            </div>
+            <div className="flex flex-row justify-center gap-2 grow items-center">
+                <input
+                    type="checkbox"
+                    onChange={(event) => setSimbaMode(event.target.checked)}
+                    className="w-5 h-5 cursor-pointer"
+                />
+                <p className="text-sm sm:text-base">simba mode?</p>
+            </div>
+        </div>
+    );
+}

services/raggr/raggr-frontend/src/components/QuestionBubble.tsx

@@ -0,0 +1,11 @@
+type QuestionBubbleProps = {
+  text: string;
+};
+
+export const QuestionBubble = ({ text }: QuestionBubbleProps) => {
+  return (
+    <div className="w-2/3 rounded-md bg-stone-200 p-3 sm:p-4 break-words overflow-wrap-anywhere text-sm sm:text-base ml-auto">
+      🤦: {text}
+    </div>
+  );
+};

services/raggr/raggr-frontend/src/contexts/AuthContext.tsx

@@ -0,0 +1,56 @@
+import { createContext, useContext, useState, ReactNode } from "react";
+import { userService } from "../api/userService";
+
+interface AuthContextType {
+  token: string | null;
+  login: (username: string, password: string) => Promise<any>;
+  logout: () => void;
+  isAuthenticated: () => boolean;
+}
+
+const AuthContext = createContext<AuthContextType | undefined>(undefined);
+
+interface AuthProviderProps {
+  children: ReactNode;
+}
+
+export const AuthProvider = ({ children }: AuthProviderProps) => {
+  const [token, setToken] = useState(localStorage.getItem("access_token"));
+
+  const login = async (username: string, password: string) => {
+    try {
+      const data = await userService.login(username, password);
+      setToken(data.access_token);
+      localStorage.setItem("access_token", data.access_token);
+      localStorage.setItem("refresh_token", data.refresh_token);
+      return data;
+    } catch (error) {
+      console.error("Login failed:", error);
+      throw error;
+    }
+  };
+
+  const logout = () => {
+    setToken(null);
+    localStorage.removeItem("access_token");
+    localStorage.removeItem("refresh_token");
+  };
+
+  const isAuthenticated = () => {
+    return token !== null && token !== undefined && token !== "";
+  };
+
+  return (
+    <AuthContext.Provider value={{ token, login, logout, isAuthenticated }}>
+      {children}
+    </AuthContext.Provider>
+  );
+};
+
+export const useAuth = () => {
+  const context = useContext(AuthContext);
+  if (context === undefined) {
+    throw new Error("useAuth must be used within an AuthProvider");
+  }
+  return context;
+};

services/raggr/startup-dev.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+set -e
+
+echo "Initializing directories..."
+mkdir -p /app/chromadb
+
+echo "Waiting for frontend to build..."
+while [ ! -f /app/raggr-frontend/dist/index.html ]; do
+    sleep 1
+done
+echo "Frontend built successfully!"
+
+echo "Setting up database..."
+# Give PostgreSQL a moment to be ready (healthcheck in docker-compose handles this)
+sleep 3
+
+if ls migrations/models/0_*.py 1> /dev/null 2>&1; then
+    echo "Running database migrations..."
+    aerich upgrade
+else
+    echo "No migrations found, initializing database..."
+    aerich init-db
+fi
+
+echo "Starting reindex process..."
+python main.py "" --reindex || echo "Reindex failed, continuing anyway..."
+
+echo "Starting Flask application in debug mode..."
+python app.py

services/raggr/startup.sh

@@ -1,5 +1,8 @@
 #!/bin/bash
 
+echo "Running database migrations..."
+aerich upgrade
+
 echo "Starting reindex process..."
 python main.py "" --reindex