History

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
..
ragflow_sdk	Fix: Enforce default embedding model in create_dataset / update_dataset (#8486 )	2025-06-25 16:41:32 +08:00
test	Refactor code (#8341 )	2025-06-18 16:40:30 +08:00
hello_ragflow.py	Update comments (#4569 )	2025-01-21 20:52:28 +08:00
pyproject.toml	Docs: Update version references to v0.19.1 in READMEs and docs (#8366 )	2025-06-19 14:39:27 +08:00
README.md	Replace poetry with uv (#4471 )	2025-01-14 11:49:43 +08:00
uv.lock	Docs: Update version references to v0.19.1 in READMEs and docs (#8366 )	2025-06-19 14:39:27 +08:00

ragflow-sdk

build and publish python SDK to pypi.org

uv build
uv pip install twine
export TWINE_USERNAME="__token__"
export TWINE_PASSWORD=$YOUR_PYPI_API_TOKEN
twine upload dist/*.whl