A Graph RAG Primer: From the Basics to Code

Retrieval-augmented generation (RAG) is key to accurate generative AI results, but it often misses key connections in your documents and data. 

Graph RAG offers a solution. It’s an enhancement to the RAG approach that lets AI systems traverse relationships between topics, events, and ideas. It does this by incorporating knowledge graphs: structured representations of information that organize data as entities (like people, places, things) and relationships between them.

Get a clearer picture of graph RAG basics, along with some tips and tools to implement it in production.