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Graph RAG: Knowledge Graphs, Entity Extraction, Relationship Traversal

DEV Community·丁久·6 months ago
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This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post.

Graph RAG: Knowledge Graphs, Entity Extraction, Relationship Traversal

Introduction

Traditional RAG retrieves documents based on semantic similarity. Graph RAG goes further by modeling the relationships between entities: people, companies, concepts, and their connections. This enables queries like "Which employees worked on projects managed by Alice?" that require traversing relationships rather than matching text.…

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