Akshay-hub-007/multi-modal-rag

Multi-Modal RAG: An AI-powered pipeline for extracting, chunking, and summarizing content from PDF documents using advanced chunking strategies and generative models. Includes support for text, tables, and images, with vector search and retrieval via ChromaDB.

11
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 2 / 25
Maturity 7 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

—

Language

Jupyter Notebook

License

—

Category

rag-applications

Last pushed

Sep 07, 2025

Commits (30d)

0

GitHub
Rag Applications · 152 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/Akshay-hub-007/multi-modal-rag"

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

Higher-rated alternatives

RapidAI/RapidRAG

QA based on local knowledge and LLM.

57

benitomartin/substack-newsletters-search-course

Production RAG System Course

53

liweiphys/layra

LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems...

48

LHRLAB/HyperGraphRAG

[NeurIPS 2025] Official resources of "HyperGraphRAG: Retrieval-Augmented Generation via...

48

limanmys/sef

On premise enterprise-grade RAG-powered agentic workflow chatbot platform with multi-provider support

46

Explore RAG Tools

All categories Trending RAG directory Insights