configs/rag_conversations.yaml

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

parameters:
  # Collection settings (must match what's in MongoDB)
  extract_collection_name: test_conversation_documents
  fetch_limit: 0
  load_collection_name: rag_conversations  # This is what the agent will query
  
  # Retriever settings (must match how embeddings were created)
  retriever_type: contextual  # Hybrid vector + full-text search
  embedding_model_id: text-embedding-3-small  # Same as offline pipeline
  embedding_model_type: openai
  embedding_model_dim: 1536
  
  # These settings are for display/reference only (not used by agent UI)
  chunk_size: 640
  contextual_summarization_type: contextual
  contextual_agent_model_id: gpt-4o-mini
  contextual_agent_max_characters: 200
  device: mps