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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) | |