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bisheng

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Basic Information

BISHENG is an open LLM application DevOps platform focused on building and operating enterprise AI applications. The repository provides a full-stack, self-hostable system for orchestrating complex intelligent workflows and multi-agent scenarios used in document review, report generation, customer service assistance, meeting minute generation, resume screening, call record analysis, unstructured data governance, knowledge mining and other enterprise scenarios. It aims to let teams design, deploy and run GenAI applications with an emphasis on enterprise requirements such as security, high availability and integrations. The project includes tooling, deployment scripts and guidance for self-hosting using Docker Compose and third-party components like Elasticsearch and Milvus. The platform targets production use by organizations and offers community examples and best-practice application cases to accelerate adoption.

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9415
App URL
https://github.com/dataelement/bisheng
Github Repository
https://github.com/dataelement/bisheng/blob/main/README.md

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App Details

Features
BISHENG centers on a unique visual BISHENG Workflow orchestration framework that lets users compose tasks as flowcharts supporting loops, parallelism, batch processing, conditional logic and multi-type I/O. Human-in-the-loop controls enable user intervention and feedback during workflow execution, including multi-turn conversations. The platform provides hundreds of components and thousands of parameters for deep optimization across enterprise scenarios. Enterprise-grade capabilities include RBAC, user group management, traffic control by group, SSO/LDAP support, vulnerability scanning and patching, high availability deployment options, monitoring and statistics. It also ships high-precision document parsing models for printed text, handwriting, rare characters, table and layout recognition and seal detection that can be privately deployed. The repo includes quick-start Docker Compose deployment and a community repository of application cases.
Use Cases
BISHENG helps teams accelerate development and operationalization of enterprise GenAI solutions by providing an integrated orchestration layer, reusable components and deployment tooling. The visual workflow model reduces implementation complexity by enabling non-linear logic, parallelism and batching without building custom orchestration code. Human-in-the-loop support lets operators validate and correct outputs mid-execution, improving reliability for sensitive tasks like document review and report generation. Enterprise features such as RBAC, SSO/LDAP, traffic control and monitoring facilitate secure, production-grade deployments. Built-in high-precision document parsing improves accuracy for extraction and layout-sensitive workloads. The self-hosting orientation and bundled guidance for Docker Compose and third-party services support on-premises or private cloud installation required by many organizations.

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