Graphrag: Enriching Rag Conversations With Knowledge Graphs

By integrating LLM-based entity extraction into unstructured data workflows, knowledge graphs can be created which illustrate the named entities and relationships in your content. Kirk will discuss how knowledge graphs can be leveraged in RAG pipelines to provide greater context for the LLM response, as well as utilizing entity extraction for better content filtering. Using GraphRAG, developers can build enriched user experiences - pulling data from a wide variety of sources, not just what is accessible with standard RAG vector search retrieval.

Slides https://docs.google.com/presentation/d/1jDeltxuWtTBuerO6nMEY2dm2BWDIMJX0qBs-QySHMjQ/edit?usp=sharing