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  1. Overview
  2. Framework
  3. 07 — GraphRAG Retrieval

Framework

07 — GraphRAG Retrieval

Partial

Combines vector search, graph traversal, structured data, and GNN signals.

Framework07

Why this exists

Purpose

Combines vector search, graph traversal, structured data, and GNN signals.

Input / output

Input

reference query; seed rows

Output

evidence packs; lexical similarity hits

Granularity

material, attribute

Memory / agents

Memory

reference

Agents

material, cost, lifecycle, regulation

Components

graphrag.py, GET /reference/search

Implementation status

Status

Partial

partial

Retrieval is MD5 lexical hashing over synthetic seeds, not pgvector. GNN signals are not present.