GraphRAG
Retrieval over a knowledge graph built from the corpus.
Visão geral
GraphRAG extracts entities and relationships from a document collection, builds a graph, and answers questions by traversing it and summarising communities of related material. It solves the problem that flat chunk retrieval cannot answer questions which require connecting facts scattered across many documents. It exists because some questions are about the shape of a corpus rather than any one passage in it.
Grafo de tecnologias
Como GraphRAG se liga ao resto do stack.
Usa e depende de
- Embedding concept Techniques GraphRAG uses Embedding High ✓ source
- LLM concept Models GraphRAG uses LLM High ✓ source
- RAG technique Techniques GraphRAG based on RAG High ✓ source