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dataelement / bisheng

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
https://bisheng.dataelem.com/
Apache License 2.0
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agent ai chatbot enterprise finetune genai gpt langchian llama llm llmdevops llmops ocr openai orchestration python rag react sft workflow

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简体中文 | English | 日本語

dataelement%2Fbisheng | Trendshift

BISHENG is an open LLM application devops platform, focusing on enterprise scenarios. It has been used by a large number of industry leading organizations and Fortune 500 companies.

"Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate.

Features

  1. Designed for Enterprise Applications: Document review, fixed-layout report generation, multi-agent collaboration, policy update comparison, support ticket assistance, customer service assistance, meeting minutes generation, resume screening, call record analysis, unstructured data governance, knowledge mining, data analysis, and more.

The platform supports the construction of highly complex enterprise application scenarios and offers deep optimization with hundreds of components and thousands of parameters.

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  1. Enterprise-grade features are the fundamental guarantee for application implementation: security review, RBAC, user group management, traffic control by group, SSO/LDAP, vulnerability scanning and patching, high availability deployment solutions, monitoring, statistics, and more.

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  2. High-Precision Document Parsing: Our high-precision document parsing model is trained on a vast amount of high-quality data accumulated over past 5 years. It includes high-precision printed text, handwritten text, and rare character recognition models, table recognition models, layout analysis models, and seal models., table recognition models, layout analysis models, and seal models. You can deploy it privately for free.

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  3. A community for sharing best practices across various enterprise scenarios: An open repository of application cases and best practices.

Quick start

Please ensure the following conditions are met before installing BISHENG:

Download BISHENG

git clone https://github.com/dataelement/bisheng.git
# Enter the installation directory
cd bisheng/docker

# If the system does not have the git command, you can download the BISHENG code as a zip file.
wget https://github.com/dataelement/bisheng/archive/refs/heads/main.zip
# Unzip and enter the installation directory
unzip main.zip && cd bisheng-main/docker

Start BISHENG

docker-compose up -d

After the startup is complete, access http://IP:3001 in the browser. The login page will appear, proceed with user registration.

By default, the first registered user will become the system admin.

For more installation and deployment issues, refer to:：私有化部署

Acknowledgement

This repo benefits from langchain langflow unstructured and LLaMA-Factory . Thanks for their wonderful works.

Thank you to our contributors：

Community & contact

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