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A python project aimed at extracting embeddings from textual data and performing semantic search. This version supports only the basic onnx model, no bge-m3 or e5 models.
pip install minivectordb-simple
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
minivectordb-simple publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .