Bisheng

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Bisheng is an open LLM DevOps platform for enterprise AI applications, offering GenAI workflow, RAG, and Agent capabilities. It provides unified model management, evaluation, and SFT for next-generation AI solutions.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is bisheng?

BISHENG is an open LLM DevOps platform specifically designed for next-generation enterprise AI applications. It offers a comprehensive suite of features including GenAI workflow orchestration, RAG (Retrieval-Augmented Generation), and Agent creation. The platform provides unified model management, evaluation tools, and SFT (Supervised Fine-Tuning) capabilities. Additionally, it supports dataset management, enterprise-level system management, and observability. BISHENG emphasizes powerful and comprehensive features like its unique workflow engine that supports loops, parallelism, batch processing, and conditional logic, making it suitable for complex enterprise scenarios such as document review, report generation, and multi-agent collaboration. It also includes high-precision document parsing models for various text types.

Best used for

Ideal for developers and data scientists who need to build, deploy, and manage advanced enterprise AI applications, including GenAI workflows, RAG systems, and AI agents. Especially valuable for organizations requiring robust features like document review, automated report generation, and multi-agent collaboration within a secure, enterprise-grade platform.

Common actions

build AI applications

manage LLM models

orchestrate GenAI workflows

implement RAG

evaluate AI models

deepfakecollaborationlow-code/no-codeautomated workflowopen-source"AI Agents"face swappingworkflowsgithub copilot

Capabilities

Key features

GenAI workflow orchestration
RAG implementation
Agent creation
Unified model management
Evaluation tools
SFT capabilities
High-precision document parsing

Target Audience

developerdata scientistproduct manager

Integrations

langchainllama-factory

Pricing & Plans

Open Source

Free

FAQs

What kind of enterprise scenarios does Bisheng support?

Bisheng is designed for a wide range of enterprise applications, including document review, fixed-layout report generation, multi-agent collaboration, policy update comparison, support ticket assistance, and customer service. It also handles meeting minutes generation, resume screening, call record analysis, and unstructured data governance.

What are the minimum system requirements to install Bisheng?

To install Bisheng, you need a CPU with at least 4 virtual cores, 16 GB of RAM, Docker 19.03.9+, and Docker Compose 1.25.1+. The recommended hardware includes 18 virtual cores and 48 GB of RAM for optimal performance.

Does Bisheng include document parsing capabilities?

Yes, Bisheng features a high-precision document parsing model trained on extensive data. It includes recognition models for printed text, handwritten text, rare characters, tables, and layout analysis. This model can be deployed privately for free, enhancing its utility for enterprise document processing.

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