{
  "id": "knowledge-fabric-impl:pinecone-fabric",
  "_kind": "KnowledgeFabricImpl",
  "_file": "agent-stack/knowledge-fabric-impls/vector-store-fabrics.yaml",
  "_cluster": "agent-stack",
  "attributes": {
    "displayName": "Pinecone as Knowledge Fabric",
    "description": "Pinecone as a managed vector knowledge fabric. Serverless architecture\nwith namespaces for multi-tenancy, metadata filtering, and hybrid\nsparse-dense search. Pinecone handles indexing, storage, and low-latency\nsimilarity search at scale with operational guarantees (uptime SLAs,\nautomatic scaling). As a knowledge fabric, Pinecone provides the\nproduction-grade vector storage layer for enterprise RAG systems where\nreliability and scale matter more than self-hosting flexibility.\n",
    "knowledgeFileFormats": [
      "embeddings",
      "document-chunks"
    ],
    "retrievalStrategy": "semantic-search",
    "knowledgePersistence": "managed-vector-store",
    "knowledgeScopes": [
      "organization",
      "enterprise"
    ],
    "autoExtractionSupport": false,
    "notes": "Pinecone is the most widely adopted managed vector database for production\nAI applications. Its serverless tier reduces operational overhead to near\nzero. Namespaces enable multi-tenant knowledge isolation. The trade-off\nis vendor lock-in and cost at scale compared to self-hosted alternatives.\n"
  },
  "outgoingEdges": [
    {
      "from": "knowledge-fabric-impl:pinecone-fabric",
      "to": "layer:12-knowledge-fabric",
      "kind": "realizes",
      "attributes": {}
    },
    {
      "from": "knowledge-fabric-impl:pinecone-fabric",
      "to": "tool:pinecone",
      "kind": "integrates_with",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}