{
  "id": "lib-process:ai-agents-conversational--chunking-strategy-design",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "chunking-strategy-design",
    "description": "Chunking Strategy Design and Testing - Process for designing and testing document chunking strategies\nincluding fixed-size, semantic, recursive splitting, and small-to-big retrieval patterns.",
    "libraryPath": "library/specializations/ai-agents-conversational/chunking-strategy-design.js",
    "specialization": "ai-agents-conversational",
    "references": [
      "- LangChain Text Splitters: https://python.langchain.com/docs/modules/data_connection/document_transformers/\n- LlamaIndex Node Parsers: https://docs.llamaindex.ai/en/stable/module_guides/loading/node_parsers/"
    ],
    "example": "const result = await orchestrate('specializations/ai-agents-conversational/chunking-strategy-design', {\n  projectName: 'docs-chunking',\n  documentTypes: ['markdown', 'pdf', 'html'],\n  targetChunkSize: 512\n});",
    "usesAgents": [
      "chunking-specialist",
      "chunking-architect",
      "parameter-tuner",
      "chunking-evaluator"
    ],
    "usesSkills": [
      "text-splitters"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:ai-agents-conversational--chunking-strategy-design",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--chunking-strategy-design",
      "to": "workflow:architecture-decision-record",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--chunking-strategy-design",
      "to": "specialization:ai-agents-conversational",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}