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This change lets users configure default embedding models at the provider level instead of always relying on system defaults. Each vector store provider can now specify an embedding_model and optional embedding_dimension in their config. Key features: - Auto-dimension lookup for standard models from the registry - Support for Matryoshka embeddings with custom dimensions - Three-tier priority: explicit params > provider config > system fallback - Full backward compatibility - existing setups work unchanged - Comprehensive test coverage with 20 test cases Updated all vector IO providers (FAISS, Chroma, Milvus, Qdrant, etc.) with the new config fields and added detailed documentation with examples. Fixes #2729 |
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| datasetio | ||
| eval | ||
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| inference | ||
| post_training | ||
| safety | ||
| scoring | ||
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| tool_runtime | ||
| vector_io | ||
| external.md | ||
| index.md | ||