Sumanth Kamenani 02e13617c2 Merge branch 'main' into feat/2729-configurable-embeddings-v2		2025-07-22 08:50:01 -04:00
..
inline	feat(vector-io): configurable embedding models for all providers (v2)\n\nAdds embedding_model and embedding_dimension fields to all VectorIOConfig classes.\nRouter respects provider defaults with fallback.\nIntroduces embedding_utils helper.\nComprehensive docs & samples.\nResolves #2729	2025-07-21 17:04:18 -04:00
registry	docs: minor fix of the pgvector provider spec description (#2847)	2025-07-21 22:10:35 -07:00
remote	feat(vector-io): configurable embedding models for all providers (v2)\n\nAdds embedding_model and embedding_dimension fields to all VectorIOConfig classes.\nRouter respects provider defaults with fallback.\nIntroduces embedding_utils helper.\nComprehensive docs & samples.\nResolves #2729	2025-07-21 17:04:18 -04:00
utils	feat(vector-io): configurable embedding models for all providers (v2)\n\nAdds embedding_model and embedding_dimension fields to all VectorIOConfig classes.\nRouter respects provider defaults with fallback.\nIntroduces embedding_utils helper.\nComprehensive docs & samples.\nResolves #2729	2025-07-21 17:04:18 -04:00
__init__.py	API Updates (#73)	2024-09-17 19:51:35 -07:00
datatypes.py	docs: auto generated documentation for providers (#2543)	2025-06-30 15:13:20 +02:00