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.gitignore

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# Build artifacts and compiled files
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# Build artifacts
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*.o
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*.a
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*.so
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*.dylib
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*.dll
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*.a
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*.lib
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*.exe
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build/
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dist/
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*.egg-info/
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.egg-info/
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dist/
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build/
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.eggs/
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*.egg
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.pytest_cache/
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.coverage
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htmlcov/
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.tox/
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.venv/
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venv/
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.Python
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env/
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venv/
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ENV/
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*.egg
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# Rust (Cargo)
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# Rust
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target/
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Cargo.lock
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**/*.rs.bk
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*.pdb
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# C/C++
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*.obj
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*.elf
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*.ilk
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*.map
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*.exp
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*.gch
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*.pch
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*.tmp
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*.tmp_proj
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*_wpftmp.csproj
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*.log
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*.vspscc
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*.vssscc
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.builds
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*.pidb
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*.svclog
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*.scc
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# IDE and Editor files
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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.DS_Store
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Thumbs.db
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# CMake
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CMakeCache.txt
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CMakeFiles/
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cmake_install.cmake
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Makefile
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*.cmake
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!CMakeLists.txt
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# Generated files
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*.feather
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*.index
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*.bin
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*.dat
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# OS specific
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# OS
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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*.bak
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# Test files and databases
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*.feather
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test_*.npy
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demo.feather
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example.feather
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semantic_search.feather
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large_dataset.feather
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products.feather
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documents.feather
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search.feather
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large.feather
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mydb.feather
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vectors.feather
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benchmark.feather
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knowledge.feather
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images.feather
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docs.feather
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db.feather
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my_db.feather
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my_vectors.feather
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sentences.feather
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# Test data
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p-test/test-data/*.npy
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p-test/*.feather
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examples/*.feather
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*.npy
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# Temporary files
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*.tmp
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*.temp
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*.bak
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*.backup
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*~
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# Logs
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*.log
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logs/
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# Test outputs
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test_output/
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test_results/
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*.cache
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# Documentation build
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docs/_build/
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docs/build/
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# Environment variables
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.env
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.env.local
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.env.*.local
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# Package manager files
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node_modules/
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package-lock.json
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yarn.lock
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# Jupyter Notebook
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.ipynb_checkpoints
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# pyenv
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.python-version
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# Pipenv
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Pipfile.lock
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# PEP 582
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__pypackages__/
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# Celery
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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site/
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Package files
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*.whl
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*.tar.gz

CHANGELOG.md

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# Changelog
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [0.1.0] - 2025-11-16
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### Added
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- Initial release of Feather DB
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- Python API with NumPy integration and pybind11 bindings
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- C++ core implementation with HNSW algorithm
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- Rust CLI for command-line operations
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- Binary file format with magic number validation for persistence
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- Support for L2 (Euclidean) distance metric
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- SIMD optimizations (AVX512/AVX/SSE) for distance calculations
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- Comprehensive documentation:
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- HOW_TO_USE.md - Beginner-friendly guide
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- USAGE_GUIDE.md - Complete API reference
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- Architecture diagrams and internals documentation
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- Working examples for common use cases:
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- Basic Python usage
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- Semantic search implementation
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- Batch processing for large datasets
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- Batch processing capabilities with periodic saves
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- Configurable k parameter for search results
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- Automatic database save on destruction
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- Memory-efficient vector storage
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### Features
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- **Fast Search**: Approximate nearest neighbor search using HNSW algorithm
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- **Multi-Language**: Python, C++, and Rust APIs
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- **Persistent Storage**: Custom binary format with header validation
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- **Scalable**: Supports up to 1 million vectors (configurable)
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- **Easy to Use**: Simple, intuitive APIs across all languages
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- **Production Ready**: Tested with comprehensive test suite
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### Performance
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- Add rate: 2,000-5,000 vectors/second (depending on dimension)
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- Search time: 0.5-1.5ms per query (k=10)
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- Memory usage: ~4 bytes per dimension per vector + index overhead
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- Tested with up to 10,000 vectors
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### Documentation
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- Complete usage guide with real-world examples
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- Beginner-friendly how-to guide
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- Architecture documentation with visual diagrams
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- Performance benchmarks and optimization tips
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- Troubleshooting guide
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- API reference for all three languages
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### Testing
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- Automated test suite for Rust CLI
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- Test data generation scripts
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- Validation of search accuracy
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- Binary format verification
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- Memory leak testing
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### Known Limitations
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- Maximum 1 million vectors (configurable in C++ code)
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- Only L2 distance metric supported
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- No vector deletion functionality
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- No metadata storage with vectors
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- Single-threaded operations
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[Unreleased]: https://github.com/yourusername/feather-db/compare/v0.1.0...HEAD
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[0.1.0]: https://github.com/yourusername/feather-db/releases/tag/v0.1.0

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