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GraphRAG: Improve LLM Content Quality
Learn how GraphRAG combines graph databases with generative AI to improve LLM content quality, covering graph shapes, knowledge graph creation, and query conversion.
In this 25-minute workshop, you will learn about GraphRAG, a technique that combines graph databases with generative AI to improve the quality of LLM-generated content.
We will explore the terms Retrieval-Augmented Generation (RAG) and Context Engineering, and how GraphRAG can be used in both scenarios.
What you will learn
What GraphRAG is and how it can improve the quality of LLM-generated content
- The common graph shapes used in GraphRAG
- How to extract structure from unstructured data and store it in a Knowledge Graph
- How to use relationships to provide additional context to vector-based semantic search
- How to convert natural language queries into Cypher queries