context-ai / configs /compute_rag_vector_index_conversations.yaml
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Enhanced conversation analysis UI with customer details and migrated to Keshav MongoDB
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parameters:
extract_collection_name: test_conversation_documents
fetch_limit: 0 # No limit - get all conversations
load_collection_name: rag_conversations
content_quality_score_threshold: 0.0
retriever_type: contextual
embedding_model_id: text-embedding-3-small
embedding_model_type: openai
embedding_model_dim: 1536
chunk_size: 640
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: 2
device: mps # or cuda (for Nvidia GPUs) or mps (for Apple M1/M2/M3 chips)