GiovanniPasq/agentic-rag-for-dummies

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

64
/ 100
Established

This project helps developers build advanced AI assistants that can intelligently answer questions using custom data. It takes your documents (like PDFs or Markdown files) and processes them into a searchable format, then uses an AI to interpret user questions, find relevant information, and generate clear, coherent answers. It's designed for AI developers or data scientists who want to create sophisticated conversational agents.

2,743 stars. Actively maintained with 11 commits in the last 30 days.

Use this if you are a developer looking for a robust, modular framework to build intelligent, context-aware AI agents for complex information retrieval tasks.

Not ideal if you are an end-user without programming experience simply looking for a ready-to-use AI chatbot.

AI-development conversational-AI information-retrieval large-language-models agent-systems
No Package No Dependents
Maintenance 17 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 22 / 25

How are scores calculated?

Stars

2,743

Forks

383

Language

Jupyter Notebook

License

MIT

Category

agentic-rag-systems

Last pushed

Mar 13, 2026

Commits (30d)

11

GitHub
Agentic RAG Systems · 331 tools

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