GiovanniPasq / agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Why this job: says: rag, retrieval augmented; topics: rag, retrieval-augmented-generation
What it does
This repository demonstrates how to build an Agentic RAG (Retrieval-Augmented Generation) system using LangGraph with minimal code. Most RAG tutorials show basic concepts but lack guidance on building modular, agent-driven systems — this project bridges that gap by providing both learning materials and an extensible architecture.
Get started
uv run project/app.py - Maintenance
- Active
- Last commit 23 days ago
- Stars
- 4,368
- +53 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.3.1
- Released 23 days ago
- Built with
- Jupyter Notebook
- 66% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- 11
- 9 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 66%
- Python 32%
- Shell 1%
- Batchfile 1%
Topics
- agent
- agentic-ai
- agentic-rag
- agents
- ai-agents
- bm25
- generative-ai
- gradio
- langchain
- langgraph
- llm
- ollama
Project record
- JobRAG and search
- StatusListed
- Commits178
- Forks578
- Watching26
- Stars in 28 days+129
- CreatedOct 13, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026