Whitepaper
How Memgraph Powers Real-Time Retrieval for LLMs
GraphRAG with Memgraph: Combine LLMs, RAG, and knowledge graphs to build smarter, real-time, data-driven GenAI apps.
What's covered
- How Large Language Models (LLMs) work, their limitations, and how Retrieval-Augmented Generation (RAG) addresses these challenges.
- How combining knowledge graphs with RAG enhances LLM responses with accurate, real-time, and context-rich insights.
- Which tools, integrations, and techniques to use to create GraphRAG systems using Memgraph as a graph db
- How GraphRAG powers advanced AI solutions in industries like healthcare, customer service, and creative content generation.
