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