🚀 LangGraph + RAG Learning (Real-Time)

This repository teaches how real-world RAG systems and LangGraph workflows are built.

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🧠 What You’ll Learn

✔ How documents → embeddings → vector DB
✔ How retrieval works
✔ How LLM uses context to answer
✔ How to modularize RAG properly
✔ How LangGraph orchestrates pipelines

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🔥 Learning Flow

1. Build RAG from scratch
2. Understand vector search
3. Modularize RAG pipeline
4. Integrate with LangGraph

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▶️ Setup and Running

pip install -r requirements.txt

# Running Example
Run from project root:
python langgraph_rag_pipeline/example.py