divyeshmutha12/AI-Research-Assistant

An AI-powered Multi-Agent Research Assistant built with Generative AI, Agentic AI, LangGraph, RAG, Persistent Memory, FAISS, and FastAPI. It supports multi-format uploads, intelligent PDF analysis, and expert-like Q&A via Researcher, Summarizer, Critic, and Editor agents—offering deep, contextual, and interactive research insights.

10
/ 100
Experimental
No License No Package No Dependents
Maintenance 6 / 25
Adoption 3 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

3

Forks

—

Language

Python

License

—

Category

agentic-rag-systems

Last pushed

Oct 09, 2025

Commits (30d)

0

GitHub
Agentic RAG Systems · 96 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/divyeshmutha12/AI-Research-Assistant"

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

Higher-rated alternatives

pingcap/autoflow

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB...

54

AstraBert/e-library-agent

A virtual agent for your virtual booksđź“š

40

luuisotorres/AML-MultiAgent-RAG

A Multi-Agent RAG platform using Vector DBs and AI models to accurately answer AML/CFT...

31

vennelchenfoo/slack-it-rag-agent

AI-powered IT support agent for Slack using RAG architecture with n8n, OpenAI, and Supabase

28

inngest/weaviate-agentic-workflow

A Dinner generator agentic workflow built with Inngest and Weaviate

27

Explore Vector Databases

All categories Trending Vector Database directory Insights