Fixed Dimensional Embeddings for Multi-dimensional vectors.
Project description
MuvFDE
A library to generate fixed dimensional embeddings for multi-dimensional vectors based on Google Muvera.
Installation
pip install --upgrade muvfde
Integeration Benchmark
uv venv --python 3.12
uv pip install -e .
uv pip install -r integeration_test/requirements.txt
python integeration_test/benchmark.py
Usage
Check out integeration_test/benchmark.py for usage examples.
Caveats
- The FDE algorithm is highly hyperparameter sensitive. The hyperparameters used in the benchmark are not optimal for all models.
- FDE quality is tightly linked to dimensionality; increase in dimensionality will generally result in quality gains.
Results
References
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