BISHENG is an open-source LLM DevOps platform designed for building next-generation enterprise AI applications. It organizes large-model capabilities into composable, observable, and manageable applications by integrating workflow orchestration, Retrieval-Augmented Generation (RAG), model management, and evaluation tools.
Workflow Orchestration
- Visual flowchart-based workflow builder supporting loops, parallelism, conditions, and batch processing
- Hybrid orchestration engine with sequential, parallel, and loop execution modes
- Runtime human-in-the-loop interventions for reliable execution in complex business scenarios
RAG and Knowledge Management
- Integrated RAG pipeline for improved document understanding and long-context capabilities
- High-precision document parsing models for printed text, handwriting, tables, and layout analysis
- Private deployment options for sensitive enterprise data environments
Multi-Agent and Enterprise Operations
- Multi-agent support for orchestrating heterogeneous agents and modular components
- RBAC, SSO, auditing, monitoring, and high-availability deployment options
- Unified model and data management with SFT/finetune workflows and evaluation support
Architecture and Deployment
- Microservice and container-based architecture for scalable enterprise deployments
- Integrates with external components like Elasticsearch and Milvus
- Deep componentization and parameterization for finance, government, manufacturing, and service industries