{
  "name": "complete_rag_demo",
  "description": "Index documents, search, and generate RAG answer",
  "version": 1,
  "schemaVersion": 2,
  "tasks": [
    {
      "name": "index_doc_1",
      "taskReferenceName": "index_doc_1_ref",
      "type": "LLM_INDEX_TEXT",
      "inputParameters": {
        "vectorDB": "postgres-prod",
        "index": "demo_index",
        "namespace": "demo_docs",
        "docId": "intro-001",
        "text": "Conductor is a distributed workflow orchestration engine that runs in the cloud. It allows developers to build complex stateful applications by orchestrating microservices.",
        "embeddingModelProvider": "openai",
        "embeddingModel": "text-embedding-3-small",
        "dimensions": 1536,
        "metadata": { "category": "introduction" }
      }
    },
    {
      "name": "index_doc_2",
      "taskReferenceName": "index_doc_2_ref",
      "type": "LLM_INDEX_TEXT",
      "inputParameters": {
        "vectorDB": "postgres-prod",
        "index": "demo_index",
        "namespace": "demo_docs",
        "docId": "features-002",
        "text": "Conductor supports multiple vector databases including PostgreSQL (pgvector), MongoDB Atlas, and Pinecone. It also integrates with LLM providers like OpenAI, Anthropic, and Azure OpenAI.",
        "embeddingModelProvider": "openai",
        "embeddingModel": "text-embedding-3-small",
        "dimensions": 1536,
        "metadata": { "category": "features" }
      }
    },
    {
      "name": "index_doc_3",
      "taskReferenceName": "index_doc_3_ref",
      "type": "LLM_INDEX_TEXT",
      "inputParameters": {
        "vectorDB": "postgres-prod",
        "index": "demo_index",
        "namespace": "demo_docs",
        "docId": "config-003",
        "text": "You can configure multiple named instances of the same vector database type for different environments like production, development, and staging.",
        "embeddingModelProvider": "openai",
        "embeddingModel": "text-embedding-3-small",
        "dimensions": 1536,
        "metadata": { "category": "configuration" }
      }
    },
    {
      "name": "search_index",
      "taskReferenceName": "search_ref",
      "type": "LLM_SEARCH_INDEX",
      "inputParameters": {
        "vectorDB": "postgres-prod",
        "index": "demo_index",
        "namespace": "demo_docs",
        "query": "What vector databases does Conductor support?",
        "embeddingModelProvider": "openai",
        "embeddingModel": "text-embedding-3-small",
        "dimensions": 1536,
        "maxResults": 3
      }
    },
    {
      "name": "generate_rag_answer",
      "taskReferenceName": "answer_ref",
      "type": "LLM_CHAT_COMPLETE",
      "inputParameters": {
        "llmProvider": "openai",
        "model": "gpt-4o-mini",
        "messages": [
          {
            "role": "system",
            "message": "You are a technical expert. Answer the question using only the provided context."
          },
          {
            "role": "user",
            "message": "Context:\n${search_ref.output.result}\n\nQuestion: What vector databases does Conductor support?"
          }
        ],
        "temperature": 0.2
      }
    }
  ],
  "outputParameters": {
    "indexed_docs": ["${index_doc_1_ref.output}", "${index_doc_2_ref.output}", "${index_doc_3_ref.output}"],
    "search_results": "${search_ref.output.result}",
    "answer": "${answer_ref.output.result}"
  }
}