tianhe ragas modules
Project description
What is tianhe-langchain?
tianhe-ragas is an open-source rag extending library built to power building LLM application. tianhe-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 tianhe.
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 Tianhe Platform.
We provide a open cloud service for easily use. See free trial.
Install tianhe-ragas
- Install from pip:
pip install tianhe-ragas - Quick Start Guide
Documentation
For guidance on installation, development, deployment, and administration, check out tianhe-ragas Dev Docs.
Acknowledgments
tianhe-ragas adopts dependencies from the following:
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 tianhe_ragas-1.0.3.tar.gz.
File metadata
- Download URL: tianhe_ragas-1.0.3.tar.gz
- Upload date:
- Size: 50.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fed2a2a13436cc935e412975fdf7d9e4f3dd13e74ebebc5df3f984d491f52df8
|
|
| MD5 |
7b0b2794c58e81e2d279db8db027fe25
|
|
| BLAKE2b-256 |
ab05498661a2abb7689569da5b82ac74c90459bbb1000463b08ee6e9e8d0b12b
|
File details
Details for the file tianhe_ragas-1.0.3-py3-none-any.whl.
File metadata
- Download URL: tianhe_ragas-1.0.3-py3-none-any.whl
- Upload date:
- Size: 67.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e96f0e62be52379fbdccc20b3ce40c5aea9411d81514baf584164b84b77ccd44
|
|
| MD5 |
d7725d9cbb1bcaab16c166f3aae800fe
|
|
| BLAKE2b-256 |
81412ded9e8fc3548c0d9b49f041709e99f7dc6703f7e47052922bce1e393f5d
|
