智谱清流
Product information, use cases, and access for 智谱清流.
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What is 智谱清流?
Zhipu Qingliu is an enterprise-oriented platform for building and deploying AI agent applications. It connects Zhipu’s model capabilities with organizational workflows and business use cases.
Teams can combine agents, workflow orchestration, and knowledge management while shaping applications through visual configuration. The platform is suited to organizations that want to place AI agents inside existing business systems and maintain those applications as their needs evolve over time. It supports continuous collaboration from application design through integration with business systems.
Key features of 智谱清流
Agent configuration
The platform supports agent construction around prompts and response logic, with optional combinations of plugins, knowledge bases, and web search. Multiple agents can also cooperate by dividing a more involved task into coordinated responsibilities. This is useful for teams that need to structure dialogue, retrieval, or task handling around business rules. Different configuration levels let users shape agents for specific organizational applications.
Visual workflows
The Workflow module organizes business processes and the cooperation between agents across multiple processing stages. It supports multi-turn conversations and multimodal handling, giving teams a visual way to express more complex application logic. This fits automation scenarios that require explicit stages, responsibilities, and transitions. Teams can place different agents within one flow, extending an application from a single exchange into a connected business process.
Knowledge management
The knowledge management module supports enterprise knowledge bases and provides controls for classifying, chunking, and preprocessing document content. Retrieval-augmented capabilities and multiple recall or ranking methods help applications query organizational materials more deliberately. It is suitable for centralized internal documents, knowledge retrieval, and question answering over company materials. Teams can adapt classification and chunking rules to better match the structure and use of their own business content.
Evaluation and integration
The platform provides batch optimization workflows that evaluate agents with evaluation sets across text and multimodal models, including both single-turn and multi-turn conversations. Applications can also connect with other business systems through APIs, SDKs, or URLs. This is useful for teams that need to compare agent behavior repeatedly and then connect a refined application to existing products or workflows. Evaluation and integration together support ongoing iteration while moving the application into practical business use.