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Hierarchical Attention Tree: 100% recall at 70x faster build times than HNSW. A new database paradigm for AI memory and hierarchical semantic search.
pip install arms-hat
PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
arms-hat publishes 1 wheel and 0 source archives for version 0.1.0. Wheel platform tags: manylinux_2_34_x86_64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .