GH Repository · GiovanniPasq
agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
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rag-agentsqdrantlangchainagentic-aiagentic-ragollamaagentsbm25pythonllmgradiogenerative-airagagentrag-chatbotai-agentsrag-pipelineJupyter Notebookretrieval-augmented-generation-raglanggraphretrieval-augmented-generation
A GitHub repository containing a modular Agentic RAG (Retrieval-Augmented Generation) pipeline built with LangGraph, presented as a learning project. Its topics and file types indicate it uses Qdrant, BM25, Ollama, LangChain, and a Gradio interface, written in Python/Jupyter Notebook.
You want a small, MIT-licensed reference implementation to learn how agentic RAG pipelines are assembled with LangGraph.
Use it to
- Study a modular LangGraph-based agentic RAG pipeline
- Run and modify a RAG chatbot example locally with Ollama
- Explore hybrid retrieval combining Qdrant and BM25
- Use the notebooks as a hands-on RAG tutorial
For Developers learning to build agentic RAG systems
- Role
- rag
- Language
- Jupyter Notebook
- Licence
- MIT
- Forks
- 533
- Last push
- 2026-08-30
- Latest release
- v1.0 · 2025-10-20
topicsagentic-raglanggraphretrieval-augmented-generationqdrantollamalearning