GRAPH RAG EXPLAINED

Summary from the TLDR Web Dev newsletter

Graph RAG makes Retrieval-Augmented Generation better by using knowledge graphs to connect related information. This approach organizes information into nodes and edges, representing entities and their relationships, allowing the system to provide more context-aware and accurate answers. Graph RAG has an indexing phase to build the knowledge graph from unstructured data and a querying phase that uses local or global queries to retrieve relevant information.