semvec/pypi-packages huggingface dataset:
mixician 0.1.21
An advanced hybrid ranking engine for recommendation systems, designed to automate the optimization of algorithms and parameters tailored to diverse business objectives.
License: MIT
Requires Python: <4.0,>=3.9

# Mixician

![Mixician](https://github.com/yinsn/Mixician/blob/develop/docs/images/Mixician.svg)

[![Python](https://img.shields.io/badge/python3.9-red?logo=Python&logoColor=white)](https://www.python.org)
[![PyPI](https://img.shields.io/pypi/v/mixician?color=green)](https://pypi.org/project/mixician/)
[![GitHub license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/yinsn/Mixician)

An advanced hybrid ranking engine for recommendation systems, designed to automate the optimization of algorithms and parameters tailored to diverse objectives.

## Installation

In most cases, you can install the pre-build binaries via

```sh
pip install mixician
```
langchain-kdbai 0.1.0
Integration package connecting KDBAI and Langchain
License: MIT
Requires Python: <4.0,>=3.9

# 🦜️🔗 LangChain KDBAI

This is a repo containing integrations between KDBAI and LangChainAI.

It contains the following package.

- `langchain-kdbai`

**Note**: This repository replaces all KDBAI integrations currently present in the `langchain-community` package. Users are encouraged to migrate to this repository as soon as possible.

## Features

### LangChain

- Vector store
    -[KDBAI](https://python.langchain.com/docs/integrations/vectorstores/kdbai/)

## Installation

You can install the `langchain-kdbai` package from PyPI.

```bash
pip install langchain-kdbai
```

## Usage

For more detailed usage examples and documentation, please refer to the [LangChain documentation]

## License

This project is licensed under the [MIT License](LICENSE).