ParthSareen/simple-rag

Too many docs? Quickly search over any PDF or Markdown documents

27
/ 100
Experimental

Implements RAG using vector embeddings with Chroma for persistent local storage, supporting both OpenAI and Ollama models. Provides dual interfaces—a Gradio web UI and CLI with interactive Q&A—allowing users to query documents without external services. Uses LangChain-style document loaders to automatically chunk and embed PDFs and Markdown files for efficient retrieval.

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 11 / 25

How are scores calculated?

Stars

65

Forks

6

Language

Python

License

Last pushed

Nov 30, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/ParthSareen/simple-rag"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.