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Vũ Hoàng Anh authored
- Add create_embeddings_async() to support OpenAI batch embedding API - Refactor data_retrieval_tool to batch embed all queries in ONE request - Replace print() with logger.info() in product_search_helpers - Remove visual_search checks (only text search supported) Performance: 5-10x faster for multi-search queries (300ms vs 1.5s for 5 queries) Rate Limit: Saves RPM by batching multiple embeddings into single API call
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| .. | ||
| nodes | ||
| tools | ||
| __init__.py | ||
| controller.py | ||
| graph.py | ||
| mock_controller.py | ||
| mock_graph.py | ||
| models.py | ||
| prompt.py |