Metadata-Version: 2.4
Name: centricube_langchain
Version: 1.3.0
Summary: centricube langchain modules
Home-page: https://github.com/cicit/centricube
Author: CICIT
Author-email: jweelee@qq.com
License: Apache 2.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: langchain==0.3.*
Requires-Dist: zhipuai
Requires-Dist: websocket-client
Requires-Dist: elasticsearch
Requires-Dist: opencv-python==4.5.5.64
Requires-Dist: Pillow==9.5.0
Requires-Dist: centricube_pyautogen
Requires-Dist: jieba==0.42.1
Requires-Dist: pydantic
Requires-Dist: pymupdf
Requires-Dist: shapely==2.0.2
Requires-Dist: filetype==1.2.0
Requires-Dist: langgraph==0.3.*
Requires-Dist: openai==1.*
Requires-Dist: langchain_openai==0.3.*
Requires-Dist: llama-index==0.9.48
Requires-Dist: centricube_ragas==1.*
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
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Dynamic: requires-dist
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Dynamic: summary

## What is centricube-langchain?

centricube-langchain is an open-source langchain extending library built to power building LLM application.
centricube-langchain 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-langchain

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

### Docker Deployment

To deploy via Docker:

1. **Build the image**:
   ```bash
   docker build -t centricube-langchain .
   ```

2. **Run the container**:
   ```bash
   docker run -p 8000:8000 centricube-langchain
   ```

3. **Push to Docker Hub** (optional):
   ```bash
   docker tag centricube-langchain yourusername/centricube-langchain
   docker push yourusername/centricube-langchain
   ```

Replace `yourusername` with your Docker Hub username.

## Documentation

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


## Acknowledgments

centricube-langchain adopts dependencies from the following:

- Thanks to [langchain](https://github.com/langchain-ai/langchain) for the main framework.
