No project description provided
Project description
What is bisheng-langchain?
bisheng-langchain is an open-source langchain extending library built to power building LLM application. bisheng-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 bisheng.
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 Bisheng Platform.
We provide a open cloud service for easily use. See free trial.
Install bisheng-langchain
- Install from pip:
pip install bisheng-langchain - Quick Start Guide
Documentation
For guidance on installation, development, deployment, and administration, check out bisheng-langchain Dev Docs.
Acknowledgments
bisheng-langchain adopts dependencies from the following:
- Thanks to langchain for the main framework.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file bsrag_langchain-0.3.8.0.tar.gz.
File metadata
- Download URL: bsrag_langchain-0.3.8.0.tar.gz
- Upload date:
- Size: 179.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
540804d0a990cadfaad1e816ef8deef98be9c137a1452923fa4b23562facd6ad
|
|
| MD5 |
6c989a7550c1f487ed88ad36259f3955
|
|
| BLAKE2b-256 |
bba85df3bac740aba09c02be101ac41b631d2cc936512b4c36bf37b3f82e3ca1
|
File details
Details for the file bsrag_langchain-0.3.8.0-py3-none-any.whl.
File metadata
- Download URL: bsrag_langchain-0.3.8.0-py3-none-any.whl
- Upload date:
- Size: 284.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
76914e7cb64d3169e70d65eb371bdebfc26278f7c9e68fbbfc03dea7dbf605e7
|
|
| MD5 |
cf3a814bdec09b79e47b0ad4b2832b7b
|
|
| BLAKE2b-256 |
2ce09e3ff546c1c71e9ba8ca189148b3a26e4ed6a81887596a15dfd31e07bffc
|
