Graph RAG

Overview

Use graph-native retrieval when the answer depends on relationships, not just similar text. Graph RAG works well for entity-heavy systems, architecture questions, causal chains, and multi-hop queries that plain vector retrieval often misses.

When to Use

• The user asks how two concepts connect
• The answer depends on paths, dependencies, or neighborhoods
• Important context is split across multiple files or documents
• Vector search returns individually relevant chunks but weak overall explanations
• You already have entities, references, or graph structure available

Retrieval Patterns

Entity Anchor Retrieval

Resolve the question to known entities first, then retrieve around them.