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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
emb_opt-1.0.2.tar.gz
(25.8 kB
view hashes)
Built Distribution
emb_opt-1.0.2-py3-none-any.whl
(32.3 kB
view hashes)
