semvec/pypi-packages huggingface dataset:
centricube-ragas 1.0.4
centricube ragas modules
License: Apache 2.0
Requires Python: >=3.6

## What is centricube-langchain?

centricube-ragas is an open-source rag extending library built to power building LLM application.
centricube-ragas provides more components to support Chinese LLMs and and Chinese based token environments for prompt engineering and ICL template.


The project is a sub-module of [centricube](https://github.com/cicit/centricube).


## Key features

- Retrival Enhancement components, like ESIndex, DBIndex, GraphIndex 
- Supporting Open LLMs and embeddings models 
- High performance QAs Chains
- High Semanticly Chinese token processing


## Quick start

### Start with Centricube Platform.

We provide a open cloud service for easily use. See [free trial](https://www.centricube.cn/).


### Install centricube-ragas

- Install from pip: `pip install centricube-ragas`
- [Quick Start Guide](https://scn3v8ba0o9m.feishu.cn/wiki/XTRVw4tUHi4ZQ2kDQpXc0l47nLg)


## Documentation

For guidance on installation, development, deployment, and administration, 
check out [centricube-ragas Dev Docs](https://scn3v8ba0o9m.feishu.cn/wiki/XTRVw4tUHi4ZQ2kDQpXc0l47nLg). 


## Acknowledgments

centricube-ragas adopts dependencies from the following: