{
  "id": "retrieval-pipeline:graph-rag",
  "_kind": "RetrievalPipeline",
  "_file": "domain/knowledge-fabric/retrieval-pipelines.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Graph RAG",
    "description": "Microsoft-style graph+vector hybrid retrieval pipeline. Extracts\nentities and relationships from documents into a knowledge graph,\napplies community detection (Leiden algorithm) to identify topic\nclusters, generates hierarchical summaries at multiple granularities,\nand combines graph traversal with vector similarity for retrieval.\nSupports both local search (entity-focused) and global search\n(theme-focused) query modes. Excels at answering holistic questions\nthat require synthesizing information across many documents.\n",
    "pipelineKind": "graph-hybrid",
    "chunkingStrategy": "hierarchical"
  },
  "outgoingEdges": [
    {
      "from": "retrieval-pipeline:graph-rag",
      "to": "knowledge-source:documentation-wiki",
      "kind": "retrieves_from"
    },
    {
      "from": "retrieval-pipeline:graph-rag",
      "to": "knowledge-source:code-repository",
      "kind": "retrieves_from"
    },
    {
      "from": "retrieval-pipeline:graph-rag",
      "to": "knowledge-source:decision-log",
      "kind": "retrieves_from"
    },
    {
      "from": "retrieval-pipeline:graph-rag",
      "to": "topic:graph-rag",
      "kind": "relates_to_topic"
    },
    {
      "from": "retrieval-pipeline:graph-rag",
      "to": "topic:knowledge-graph-construction",
      "kind": "relates_to_topic"
    }
  ],
  "incomingEdges": []
}