- Set OMP_NUM_THREADS=1 to avoid OpenMP thread synchronization issues
- Set MKL_NUM_THREADS=1 for single-threaded MKL operations
- This prevents segfaults in LayerNorm on macOS CI runners
- Addresses the libomp compatibility issues with PyTorch on Apple Silicon
- Let uv automatically select the correct wheel for the current platform
- Fixes error when trying to install macOS wheels on Linux
- Simplifies the installation logic
- uv-managed Python environments don't allow --system installs
- Create and activate virtual environment before installing packages
- Update all CI steps to use the virtual environment
- Comment out llama-index-readers-docling and llama-index-node-parser-docling
- These packages require Python >= 3.10 and were causing CI failures on Python 3.9
- Regenerate uv.lock file to resolve dependency conflicts
- Use smaller MiniLM-L6-v2 model (384 dimensions) for README tests in CI
- Skip other memory-intensive tests in CI environment
- Add minimal CI tests that don't require model loading
- Set CI environment variable and disable MPS fallback
- Ensure README examples always run correctly in CI
- Update root project to support Python 3.9, matching subpackages
- Restore macOS Python 3.9 support in CI
- This fixes the CI failure for Python 3.9 environments
- DiskANN uses sgesdd_ LAPACK function which is only available on macOS 13.3+
- Update MACOSX_DEPLOYMENT_TARGET from 11.0 to 13.3 for DiskANN builds
- This fixes the compilation error on GitHub Actions macOS runners
- Remove outdated macOS C++ compatibility warnings from README
- Simplify CI workflow by removing macOS-specific failure handling
- All tests now pass consistently on macOS after ABI fixes
- Add --distance-metric parameter to diskann_embedding_server.py for consistency with other backends
- Remove pytest.skip and pytest.xfail markers for macOS C++ ABI issues as they have been fixed
- Fix test assertions to handle SearchResult objects correctly
- All tests now pass on macOS with the C++ ABI compatibility fixes
- Move pytest configuration from pytest.ini to pyproject.toml
- Remove unnecessary run_tests.py script (use test extras instead)
- Fix main_cli_example.py to properly use command line arguments for LLM config
- Add test_readme_examples.py to test code examples from README
- Refactor tests to use pytest fixtures and parametrization
- Update test documentation to reflect new structure
- Set proper environment variables in CI for test execution
- Add --embedding-model and --embedding-mode arguments
- Support automatic detection of normalized embeddings
- Works correctly with cosine distance for OpenAI embeddings
description="LEANN - The smallest vector index in the world. RAG Everything with LEANN!"
readme="README.md"
requires-python=">=3.9"
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