{
  "id": "lib-process:ai-agents-conversational--rag-pipeline-implementation",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "rag-pipeline-implementation",
    "description": "RAG Pipeline Design and Implementation - Comprehensive process for building RAG pipelines including\ndocument ingestion, chunking strategies, embedding generation, vector storage, retrieval, and generation.",
    "libraryPath": "library/specializations/ai-agents-conversational/rag-pipeline-implementation.js",
    "specialization": "ai-agents-conversational",
    "references": [
      "- LlamaIndex RAG: https://docs.llamaindex.ai/en/stable/\n- LangChain RAG: https://python.langchain.com/docs/use_cases/question_answering/\n- Pinecone: https://docs.pinecone.io/"
    ],
    "example": "const result = await orchestrate('specializations/ai-agents-conversational/rag-pipeline-implementation', {\n  pipelineName: 'docs-qa-system',\n  documentSources: ['confluence', 'github-docs'],\n  vectorDb: 'pinecone',\n  embeddingModel: 'text-embedding-3-small'\n});",
    "usesAgents": [
      "rag-architect",
      "rag-evaluator"
    ],
    "usesSkills": [
      "document-loaders",
      "text-splitters",
      "embedding-models",
      "vector-store-configs",
      "rag-prompt-templates"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:ai-agents-conversational--rag-pipeline-implementation",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--rag-pipeline-implementation",
      "to": "workflow:release-management",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--rag-pipeline-implementation",
      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--rag-pipeline-implementation",
      "to": "specialization:ai-agents-conversational",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}