GraphRAG refers to a set of Retrieval Augmented Generation (RAG) patterns using a graph structure for improved data retrieval. The post introduces various GraphRAG patterns, categorized into basic, intermediate, and advanced levels, each requiring unique pre-processing and graph patterns. GraphRAG techniques often leverage relationships within data to enhance retrieval effectiveness, usually involving client-side data structures and Python code. The post also encourages contribution to an open-source GraphRAG Pattern Catalog and provides resources for further learning and implementation.
Table of contents
GraphRAG Field Guide: Navigating the World of Advanced RAG PatternsThematic ClassificationWhy Graphs?Basic GraphRAG Patterns — Retrieval Patterns on a Lexical GraphIntermediate GraphRAG Patterns — Retrieval Patterns on a Domain GraphAdvanced GraphRAG Patterns — Retrieval Patterns on a Lexical Graph and Domain Graph CombinedSummary1 Comment
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