# dataelement/bisheng **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/dataelement-bisheng).** 11,455 stars · 1,869 forks · TypeScript · Apache-2.0 ## Links - GitHub: https://github.com/dataelement/bisheng - Homepage: http://www.bisheng.ai - awesome-repositories: https://awesome-repositories.com/repository/dataelement-bisheng.md ## Description Bisheng is an enterprise AI framework and LLM DevOps platform designed to manage the full lifecycle of large language models. It provides a unified system for dataset curation, supervised fine-tuning, model versioning, and performance evaluation. The platform features a visual workflow orchestrator for building retrieval-augmented generation pipelines and complex task sequences using flowcharts with conditional logic and human intervention points. It also includes an AI agent framework that uses a specialized guidance language to embed domain expertise and professional business logic into autonomous agents. The system covers comprehensive enterprise AI governance through role-based access control, single sign-on, and integrated observability tools for monitoring system health and traffic. Additional capabilities include layout-aware document parsing for extracting text and tables from printed or handwritten sources and high-availability infrastructure deployment. ## Tags ### Artificial Intelligence & ML - [LLM Lifecycle Management](https://awesome-repositories.com/f/artificial-intelligence-ml/llm-lifecycle-management.md) — Coordinates the full LLM lifecycle including dataset curation, supervised fine-tuning, versioning, and performance evaluation. ([source](https://github.com/dataelement/bisheng/blob/main)) - [LLM Operations Platforms](https://awesome-repositories.com/f/artificial-intelligence-ml/llm-operations-platforms.md) — Manages the full lifecycle of large language models including fine-tuning, dataset curation and performance evaluation in a corporate environment. - [Expert Logic Embedding](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/agent-orchestration-multi-agent/autonomous-agents/agent-configurations/expert-logic-embedding.md) — Allows users to embed professional preferences and business logic into AI agents using a specialized guidance language. ([source](https://github.com/dataelement/bisheng/blob/main)) - [AI Agent Frameworks](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-agent-frameworks.md) — Provides a system for creating specialized agents that embed professional business logic and domain expertise. - [AI Workflow Orchestrators](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-workflow-orchestrators.md) — Designs complex task sequences and automated workflows using visual flowcharts with conditional logic and human intervention. - [Enterprise Model Lifecycle Governance](https://awesome-repositories.com/f/artificial-intelligence-ml/enterprise-model-lifecycle-governance.md) — Coordinates versioning, dataset curation, and supervised fine-tuning within a single integrated control system. - [RAG Pipelines](https://awesome-repositories.com/f/artificial-intelligence-ml/language-model-orchestration/retrieval-augmented-generation/rag-pipelines.md) — Provides a visual tool for building retrieval-augmented generation pipelines with conditional logic and human intervention. - [Document Layout Analysis](https://awesome-repositories.com/f/artificial-intelligence-ml/natural-language-processing/document-layout-analysis.md) — Extracts text and tables from documents by recognizing physical layouts, seals, and handwritten characters. - [RAG Data Pipelines](https://awesome-repositories.com/f/artificial-intelligence-ml/rag-data-pipelines.md) — Combines document parsing, dataset management, and retrieval mechanisms to provide context for generative AI tasks. - [RAG Frameworks](https://awesome-repositories.com/f/artificial-intelligence-ml/rag-frameworks.md) — Builds AI agents and retrieval augmented generation systems that integrate domain expert knowledge and business logic. - [Visual Workflow Orchestration](https://awesome-repositories.com/f/artificial-intelligence-ml/visual-workflow-orchestration.md) — Coordinates complex task sequences using a graphical flowchart that supports loops, parallelism, and human intervention. - [Workflow Orchestration](https://awesome-repositories.com/f/artificial-intelligence-ml/workflow-orchestration.md) — Offers a visual flowchart interface for orchestrating complex task sequences with loops and conditional logic. ([source](https://github.com/dataelement/bisheng/blob/main/README.md)) - [Agent Deployment Management](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-deployment-management.md) — Provides comprehensive management and production deployment of autonomous agents tailored for professional domain tasks. ([source](https://github.com/dataelement/bisheng#readme)) - [AI Observability Suites](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-observability-suites.md) — Ships a monitoring suite for tracking application health, system performance, and user access. ### Part of an Awesome List - [Autonomous Agent Platforms](https://awesome-repositories.com/f/awesome-lists/ai/autonomous-agent-platforms.md) — Provides a platform for creating and managing specialized autonomous agents that apply professional business logic. - [Enterprise Model Coordination Systems](https://awesome-repositories.com/f/awesome-lists/ai/enterprise-model-coordination-systems.md) — Provides a unified interface for coordinating model versioning, supervised fine-tuning, and performance evaluation for enterprise AI applications. - [Complex Document Extraction](https://awesome-repositories.com/f/awesome-lists/data/document-parsing-and-extraction/complex-document-extraction.md) — Extracts text, tables, and layouts from printed or handwritten documents using specialized recognition for seals and rare characters. ([source](https://github.com/dataelement/bisheng#readme)) - [Model Serving & Deployment](https://awesome-repositories.com/f/awesome-lists/ai/model-serving-deployment.md) — Focuses on enterprise-grade LLM application development. ### DevOps & Infrastructure - [LLM DevOps Toolsets](https://awesome-repositories.com/f/devops-infrastructure/llm-devops-toolsets.md) — Provides an end-to-end environment for managing the lifecycle of large language models from dataset curation and fine-tuning to deployment. - [High Availability Infrastructure](https://awesome-repositories.com/f/devops-infrastructure/high-availability-infrastructure.md) — Ensures system stability through vulnerability scanning, patching, monitoring, and high-availability deployment strategies. ([source](https://github.com/dataelement/bisheng/blob/main/README.md)) ### Programming Languages & Runtimes - [Agent Steering Languages](https://awesome-repositories.com/f/programming-languages-runtimes/domain-specific-languages/agent-steering-languages.md) — Embeds domain expertise and business logic into agents using a specific language to constrain model behavior. ### Security & Cryptography - [Enterprise AI Security](https://awesome-repositories.com/f/security-cryptography/enterprise-ai-security.md) — Controls security through role-based access and single sign-on while monitoring system health across AI deployments. - [Role-Based Access Control](https://awesome-repositories.com/f/security-cryptography/role-based-access-control.md) — Manages enterprise security and resource limiting through user groups, single sign-on, and traffic throttling. ### System Administration & Monitoring - [Observability Platforms](https://awesome-repositories.com/f/system-administration-monitoring/observability-platforms.md) — Includes integrated observability tools for monitoring system health, traffic, and application performance. ([source](https://github.com/dataelement/bisheng#readme)) - [Observability Suites](https://awesome-repositories.com/f/system-administration-monitoring/observability-suites.md) — Ships an integrated suite of monitoring and statistics tools to track system health and application performance.