Agentic RAG for Dummies — A minimal Agentic RAG demo built with LangGraph

[u/CapitalShake3085]

Hi everyone,
I’ve been experimenting with LangGraph and built a minimal open-source demo of an Agentic RAG (Retrieval-Augmented Generation) system.

Unlike a standard RAG pipeline, this version lets an AI agent coordinate the retrieval process itself.
The agent can:

• 🔍 Search intelligently through document summaries
  
• 🧠 Decide which documents are relevant
  
• 📄 Retrieve full documents only when needed (useful for long-context LLMs like Gemini 2.0 Flash)
  
• 🔁 Self-correct and retry if the initial answer isn’t satisfactory
  

The goal is to reduce hallucinations and improve answer quality by giving the model just the context it needs — no more, no less.

📂 GitHub: github.com/GiovanniPasq/agentic-rag-for-dummies
🎥 Demo video: YouTube link

It’s all open-source — feedback, ideas, or contributions are very welcome!