Practical GraphRAG - Making LLMs Smarter with Knowledge Graphs

Learn how to enhance Large Language Models (LLMs) using Knowledge Graphs in this 26-minute conference talk from PyBay 2024. Explore beyond traditional Retrieval-Augmented Generation (RAG) by implementing Microsoft Research's GraphRAG approach to represent data with higher fidelity. Discover techniques for extracting entities and relationships from text using LLMs, correlating sources, clustering communities, and navigating through questions. Watch a live demonstration of indexing and search capabilities using Neo4j and LangChain, gaining practical insights into how knowledge graphs can provide richer context and reduce hallucinations in LLM responses.