CTO explains GraphRAG – How to increase ACCURACY of LLM Systems using Graph and Vector Databases

Philip Rathle, CTO of Neo4j, the popular graph database company, shares his insights into leveraging graphs inside LLM Systems and products. Depending on the scale of your queries, graph databases are an effective engine for retrieving information in RAG systems that can leverage graphs’ relational and speed capabilities to enhance LLMs’ understanding of complex topics and queries.

Watch the podcast: https://youtu.be/8oVvcaNPVrE?si=nAOn0IDEO0EMVupX  

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