# emb_opt
<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
`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](https://darkmatterai.github.io/emb_opt/) site
for documentation and tutorials
## Install
``` sh
pip install emb_opt
```
## Supported Backends
`emb_opt` currently supports
[Faiss](https://github.com/facebookresearch/faiss),
[HuggingFace](https://huggingface.co/docs/datasets/faiss_es) and
[Qdrant](https://qdrant.tech/) backends
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