A lightweight framework to efficiently screen vector databases
Project description
emb_opt
emb_opt uses reinforcement learning and hill climbing algorithms to
efficiently find high scoring items in embedding spaces, such as vector
databases or generative model latent spaces.
See the documentation site for documentation and tutorials
Install
pip install emb_opt
Supported Backends
emb_opt currently supports
Faiss,
HuggingFace and
Qdrant backends
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