Welcome to the repository for building an advanced Retrieval-Augmented Generation (RAG) application using LangGraph. This project demonstrates how to create an adaptive and self-reflective RAG system while preventing hallucinations. It also showcases the integration of an agent that retrieves information via a search browser using Tavily and leverages GROQ to speedup inference.
🎥 Watch the full tutorial on YouTube: Advanced RAG Application with LangGraph Tutorial
- Adaptive and Self-Reflective RAG
- Preventing Hallucinations
- Agent-Based Information Retrieval with Tavily
- GROQ for LLM inference
- Chroma as a vector store database
- LangGraph
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