azhwinraj/multimodal-rag-engine

Production-ready RAG system with multi-modal search across text, images, audio, and video. Built with LangChain, CLIP, vector databases, and LLMs for intelligent knowledge retrieval and question answering.

15
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

Forks

Language

License

MIT

Last pushed

Oct 15, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/azhwinraj/multimodal-rag-engine"

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