emb_opt

A lightweight framework to efficiently screen vector databases

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