{
  "name": "agentpm-docs",
  "version": "0.1.1",
  "description": "Prepared vector-mode retrieval corpus built from the public AgentPM v0.1 docs set.",
  "knowledge": {
    "mode": "vector",
    "corpus": {
      "chunk_count": 615,
      "chunks_path": "knowledge/chunks.jsonl",
      "content_hash": "sha256:ad4791eac0657a76c0f6b52d31d1066d451e50b15f88fb4fa618b48172c6d5e3",
      "source_count": 46,
      "sources_path": "knowledge/sources.jsonl"
    },
    "embedding": {
      "id": "default",
      "model": "text-embedding-3-small",
      "metric": "cosine",
      "provider": "openai",
      "dimensions": 1536,
      "normalized": true,
      "vector_count": 615,
      "vectors_hash": "sha256:66f6747e488ac861343d330a1304ffdf088c7e9c31bffeb124f2839961415a0e",
      "vectors_path": "knowledge/embeddings/default.f32"
    },
    "indexes": [
      {
        "id": "default",
        "path": "knowledge/indexes/default",
        "type": "agentpm-local",
        "embedding_id": "default",
        "generated_by": "agentpm knowledge build"
      }
    ],
    "retrieval": {
      "strategy": "vector",
      "default_top_k": 5,
      "return_citations": true,
      "default_score_threshold": 0.35
    },
    "provenance": {
      "builder": {
        "name": "agentpm-examples-agentpm-docs-pipeline",
        "version": "2026-09-27"
      },
      "generated_at": "2026-09-27T00:00:00Z",
      "sources_manifest_path": "knowledge/provenance/sources-manifest.json"
    },
    "chunking": {
      "overlap": 150,
      "strategy": "langchain-markdown-headers-plus-recursive-character",
      "chunk_size": 1200
    }
  },
  "readme": "README.md",
  "license": {
    "spdx": "MIT"
  }
}