Liu An dac5bcdf17 Fix: Enforce default embedding model in create_dataset / update_dataset (#8486) ... ### What problem does this PR solve? Previous: - Defaulted to hardcoded model 'BAAI/bge-large-zh-v1.5@BAAI' - Did not respect user-configured default embedding_model Now: - Correctly prioritizes user-configured default embedding_model Other: - Make embedding_model optional in CreateDatasetReq with proper None handling - Add default embedding model fallback in dataset update when empty - Enhance validation utils to handle None values and string normalization - Update SDK default embedding model to None to match API changes - Adjust related test cases to reflect new validation rules ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)		2025-06-25 16:41:32 +08:00
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apps	Fix: Enforce default embedding model in create_dataset / update_dataset (#8486)	2025-06-25 16:41:32 +08:00
db	Fix: some cases Task return but not set progress (#8469)	2025-06-25 09:58:55 +08:00
utils	Fix: Enforce default embedding model in create_dataset / update_dataset (#8486)	2025-06-25 16:41:32 +08:00
__init__.py	Update comments (#4569)	2025-01-21 20:52:28 +08:00
constants.py	Refa: Implement centralized file name length limit using FILE_NAME_LEN_LIMIT constant (#8318)	2025-06-17 18:01:30 +08:00
ragflow_server.py	Fix typo in code (#8327)	2025-06-18 09:41:09 +08:00
settings.py	Fix: Authentication Bypass via predictable JWT secret and empty token validation (#7998)	2025-06-05 12:10:24 +08:00
validation.py	Fix errors detected by Ruff (#3918)	2024-12-08 14:21:12 +08:00
versions.py