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.
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What is Bisheng?
BISHENG (Bisheng 2) is an open-source LLM DevOps platform designed for next-generation enterprise AI applications, focusing on enterprise scenarios like document review, report generation, customer service assistance, and unstructured data governance. The platform provides powerful and comprehensive features including GenAI workflow orchestration, Retrieval Augmented Generation (RAG), Intelligent Agents (including Lingsight agent with AGL framework), unified model management, model evaluation, fine-tuning (SFT), dataset management, enterprise-level system management, and observability.
Key features include a unique visual workflow orchestration system supporting loops, parallelism, batch processing, and conditional logic through an intuitive flowchart interface; human-in-the-loop capability allowing user intervention during workflow execution; high-precision document parsing with OCR for printed text, handwritten text, tables, and layout analysis; multi-agent collaboration support; and enterprise-grade security features including RBAC, SSO/LDAP, user group management, traffic control, and high-availability deployment.
BISHENG is primarily for enterprises, Fortune 500 companies, industry-leading organizations, developers, and business users who need to build reliable AI applications for complex business scenarios. Business users can create AI applications by writing SOP best practices through the Lingsight agent, while developers benefit from hundreds of components and thousands of parameters for deep customization.
Bisheng pricing
Pricing model: Freemium
BISHENG is open-source under Apache 2.0 license and can be self-hosted for free. The platform can be accessed at www.bisheng.ai for registration and trial. For enterprise deployments, paid commercial plans are available with custom pricing. Paid customers receive direct access to the founding team for consulting and customized delivery services. The free open-source version includes full platform functionality including AI Assistant for self-hosted deployments. Enterprise plans include additional features like security review, vulnerability scanning, high-availability deployment solutions, and official support.
Bisheng pros
- Fully open-source under Apache 2.0 license
- Visual drag-and-drop workflow orchestration with flowchart paradigm
- Human-in-the-loop support for workflow intervention
- High-precision document parsing with OCR for printed/handwritten text
- Table recognition and layout analysis models
- Lingsight agent with AGL framework for expert-level task handling
- Multi-agent collaboration capabilities
- Enterprise-grade security with RBAC and SSO/LDAP support
- Built-in model evaluation and fine-tuning (SFT) support
- High availability deployment options for production environments
- Comprehensive unstructured data governance
- Fixed-layout report generation capabilities
- Active community with 9.5k+ GitHub stars
- Direct access to founding team for paid customers
- Supports loops, parallelism, batch processing, and conditional logic
- NL2SQL functionality for data analysis
- Flexible API for integration with existing systems
Bisheng cons
- Requires minimum 4 CPU cores and 16GB RAM
- Steep learning curve for non-technical users despite visual interface
- New ET4LLM version has occasional document parsing定位 inaccuracies
- Limited vertical domain deep adaptation for niche industries
- Too many skill/tool concepts compared to simpler platforms like Coze/Dify
- Evaluation module cannot assess workload
- Needs more basic plugins for non-coders (text processing, report output nodes)
- No MCP store for sharing workflows yet
- Requires more professional guidance for deep learning
Frequently asked questions about Bisheng
What is BISHENG and what does it do?
BISHENG is an open-source LLM DevOps platform for next-generation enterprise AI applications. It provides GenAI workflow orchestration, RAG (Retrieval Augmented Generation), Intelligent Agents, unified model management, evaluation, fine-tuning (SFT), dataset management, enterprise-level system management, and observability. It helps enterprises build AI applications for document review, report generation, customer service, meeting minutes, resume screening, and unstructured data governance.
Is BISHENG free to use?
Yes, BISHENG is open-source under the Apache 2.0 license and can be self-hosted for free. You can download it from GitHub and deploy it on your own infrastructure. The platform is also accessible at www.bisheng.ai for registration and trial. Enterprise customers who need commercial support and customized delivery services can purchase paid plans.
What are the system requirements for self-hosting BISHENG?
Minimum requirements are CPU >= 4 virtual cores, RAM >= 16GB, Docker 19.03.9+, and Docker Compose 1.25.1+. Recommended configuration is 18 virtual cores and 48GB RAM. The default installation includes third-party components like Elasticsearch, Milvus, and Onlyoffice. At least 20GB of disk space is required.
What makes BISHENG's workflow different from other platforms?
BISHENG Workflow has an independent and comprehensive application orchestration framework that executes various tasks within a single framework. It supports human-in-the-loop intervention during workflow execution (including multi-turn conversations), unlike similar products that only execute from start to finish. It visually represents loops, parallelism, and batch processing as a flowchart, making complex logic intuitive without specialized components.
What is Lingsight and how does it work?
Lingsight is BISHENG's general-purpose agent with expert-level taste. Through the AGL (Agent Guidance Language) framework, it embeds domain experts' preferences, experience, and business logic into the AI, enabling the agent to exhibit expert-level understanding when handling tasks. Business users only need to write SOP best practices to guide AI in autonomously completing complex tasks, and SOPs automatically optimize and iterate during use.
Does BISHENG support document parsing and OCR?
Yes, BISHENG has high-precision document parsing trained on 5 years of accumulated high-quality data. It includes models for printed text recognition, handwritten text recognition, rare character recognition, table recognition, layout analysis, and seal recognition. This is particularly useful for PDF, Excel, and Word documents with different splitting strategies and high recall rates.
What enterprise security features does BISHENG provide?
BISHENG provides enterprise-grade security including security review, RBAC (Role-Based Access Control), user group management, traffic control by group, SSO/LDAP integration, vulnerability scanning and patching, high-availability deployment solutions, monitoring, and statistics. These features ensure compliance, security, and reliability for production environments.
Can I get support if I use BISHENG?
Yes, BISHENG has an active open-source community where you can ask questions and get timely responses. For paid enterprise customers, you can directly contact the founding team for consulting and customized delivery services. The team offers original consulting services and has a product-development-delivery integrated approach for efficient response.
What industries use BISHENG?
BISHENG is used by industry-leading organizations and Fortune 500 companies across finance, government, manufacturing, and service industries. It has been successfully deployed for government internal technical staff training business personnel in 10 counties, knowledge base management, unstructured data governance, data analysis, and automated report generation in corporate environments.
How does BISHENG compare to Dify and Coze?
BISHENG has better PDF parsing and OCR compared to Dify, with higher recall rates for knowledge base retrieval. Compared to Coze and Dify, BISHENG has more skill/tool concepts which may seem more complex but provides better understanding for enterprise scenarios. BISHENG balances professionalism and ease of use without raising the usage threshold due to feature complexity. It is more tailored for enterprise scenarios with deeper enterprise-grade features.