configs/compute_rag_vector_index_openai_contextual.yaml

# RAG Configuration for Conversation Data (Agent UI)
# This config matches the settings used to create rag_conversations collection

parameters:
  extract_collection_name: test_conversation_documents
  fetch_limit: 0
  load_collection_name: rag_conversations  # Query conversation data
  content_quality_score_threshold: 0.0
  retriever_type: contextual  # Hybrid vector + full-text search
  embedding_model_id: text-embedding-3-small  # Must match offline pipeline
  embedding_model_type: openai
  embedding_model_dim: 1536
  chunk_size: 640  # Match offline pipeline
  contextual_summarization_type: contextual
  contextual_agent_model_id: gpt-4o-mini
  contextual_agent_max_characters: 200
  mock: false
  processing_batch_size: 5
  processing_max_workers: 4
  device: mps