{
  "id": "lib-process:ai-agents-conversational--vector-database-setup",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "vector-database-setup",
    "description": "Vector Database Setup and Optimization - Process for selecting, configuring, and optimizing vector databases\nfor semantic search including indexing strategies, metadata filtering, and performance tuning.",
    "libraryPath": "library/specializations/ai-agents-conversational/vector-database-setup.js",
    "specialization": "ai-agents-conversational",
    "references": [
      "- Pinecone: https://docs.pinecone.io/\n- Weaviate: https://weaviate.io/developers/weaviate\n- Chroma: https://docs.trychroma.com/\n- Qdrant: https://qdrant.tech/documentation/"
    ],
    "example": "const result = await orchestrate('specializations/ai-agents-conversational/vector-database-setup', {\n  projectName: 'enterprise-search',\n  vectorDb: 'pinecone',\n  dataSize: 'large',\n  queryPatterns: ['similarity', 'filtered', 'hybrid']\n});",
    "usesAgents": [
      "vector-db-specialist",
      "pipeline-developer",
      "schema-designer",
      "query-optimizer",
      "performance-tester"
    ],
    "usesSkills": [
      "vector-store-configs"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:ai-agents-conversational--vector-database-setup",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--vector-database-setup",
      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--vector-database-setup",
      "to": "specialization:ai-agents-conversational",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--vector-database-setup",
      "to": "lib-agent:ai-agents-conversational--vector-db-specialist",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}