Framework · Low-Code Platforms

Bisheng

Provide an open, enterprise-grade LLMOps platform for building document-centric AI applications — GenAI workflows, RAG, Agents, evaluations and SFT — with high-precision document parsing and human-in-the-loop intervention baked into the workflow runtime.

Description

BISHENG (毕昇) is an open-source enterprise LLM application platform built by DataElem. The README states: 'BISHENG is an open LLM devops platform for next generation Enterprise AI applications.' Capabilities span 'GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability.' Its workflow engine is positioned as an 'independent and comprehensive application orchestration framework' that 'supports loops, parallelism, batch processing, conditional logic and free combination of all logic components,' and it ships with a high-precision document parsing stack covering print, handwriting, rare characters, tables, layout and seal detection. Human-in-the-loop is a documented first-class feature.

Solution

A workflow is a directed graph of typed nodes assembled in a visual editor and executed by Bisheng's orchestration runtime. Nodes cover model calls, retrieval over a knowledge base, Lingsight agent invocations (using the AGL — Agent Guidance Language — framework), code/condition logic, and human-in-the-loop interventions. The runtime supports loops, parallelism, batch processing and conditional logic. RAG sits inside the same workflow graph, fed by DataElem's high-precision document parsing models. Enterprise hardening (RBAC, SSO/LDAP, traffic control, security review) wraps every execution.

Primary use cases

  • enterprise document review and fixed-layout report generation
  • RAG over Chinese enterprise documents using high-precision parsing
  • multi-agent collaboration on document-centric tasks
  • policy / regulation update diff comparison
  • ticket-question-answering and unstructured data governance

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