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Ryan Chen 3ffc95a1b0 Switch to OpenAI embeddings for ChromaDB

Replace Ollama embedding function with OpenAI's text-embedding-3-small
model for improved embedding quality and consistency.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-10-02 21:05:17 -04:00

raggr-frontend

Adding axios

2025-10-02 20:46:10 -04:00

.dockerignore

Docker stuff

2025-10-02 20:21:48 -04:00

.gitignore

initial commit

2025-07-25 23:08:16 -04:00

.python-version

yeet

2025-10-02 19:21:24 -04:00

app.py

Docker stuff

2025-10-02 20:21:48 -04:00

chunker.py

Switch to OpenAI embeddings for ChromaDB

2025-10-02 21:05:17 -04:00

cleaner.py

Configure ollama to use external host instead of docker service

2025-10-02 20:29:48 -04:00

docker-compose.yml

Configure Docker for Linux host networking and add startup reindex

2025-10-02 21:02:55 -04:00

Dockerfile

Configure Docker for Linux host networking and add startup reindex

2025-10-02 21:02:55 -04:00

main.py

Configure ollama to use external host instead of docker service

2025-10-02 20:29:48 -04:00

petmd_scrape_index.py

Adding some funny stuff

2025-07-29 22:59:40 -04:00

pyproject.toml

Fix and add missing dependencies to pyproject.toml

2025-10-02 20:34:59 -04:00

query.py

Configure ollama to use external host instead of docker service

2025-10-02 20:29:48 -04:00

README.md

update readme

2025-07-25 23:12:41 -04:00

request.py

yeat

2025-08-07 17:43:24 -04:00

startup.sh

Configure Docker for Linux host networking and add startup reindex

2025-10-02 21:02:55 -04:00

uv.lock

yeet

2025-10-02 19:21:24 -04:00

README.md

simbarag

Goal: Learn how retrieval-augmented generation works and also create a neat little tool to ask about Simba's health.

Current objectives:

Successfully use RAG to ask a question about existing information (e.g. how many teeth has Simba had extracted)

Languages

Python 67.6%

TypeScript 30.8%

Dockerfile 1.2%

Shell 0.2%

CSS 0.1%