Detailed Introduction
BISHENG is an open-source LLM DevOps platform designed for enterprise scenarios. It organizes large-model capabilities into composable, observable, and manageable applications. The platform integrates workflow orchestration, Retrieval-Augmented Generation (RAG), model and dataset management, and evaluation tools, supporting multi-agent collaboration and human-in-the-loop interventions to build reliable generative applications in complex business environments.
Main Features
- Visual workflows: build complex orchestrations with loops, parallelism, conditions and batch processing using a flowchart paradigm.
- Multi-agent support: orchestrate heterogeneous agents and modular components for task decomposition and collaboration.
- RAG and knowledge management: integrated retrieval and knowledge-store management to improve document understanding and long-context handling.
- Enterprise-grade operations: RBAC, SSO, auditing, monitoring and high-availability deployment options for compliance and security.
Use Cases
Suitable for document review, fixed-layout report generation, customer service and ticket assistance, meeting minutes generation, resume screening, call-record analysis, and unstructured data governance. The platform offers deep componentization and parameterization for deploying complex enterprise workflows across finance, government, manufacturing and service industries.
Technical Features
- Hybrid orchestration engine: supports multiple execution modes (sequential, parallel, loop) within a single framework and allows runtime human intervention.
- High-precision document parsing: models for printed text, handwriting, tables and layout analysis that can be deployed privately.
- Model & data management: unified versioning for models, SFT/finetune workflows and datasets, with evaluation and baseline comparison support.
- Extensibility: microservice and container-based architecture with integrations for external components (e.g., Elasticsearch, Milvus) to meet scale and performance requirements.