智谱清流

Zhipu Qingliu is an Enterprise-focused platform from Zhipu AI for constructing and deploying AI Agents insIDE real business Operations. Rather than a single chatbot, it bundles Agent building, visual Workflow design, knowledge management, evaluation, anD system integration into one environment, with an emphASIs on no-code assembly and private deployment options.

What it does

The platfORM lets teams assemble agents from Prompts, plugins, knowledge bases, and Web Search, then chAIn those agents into larger processes through a visual workflow editor. It supports multi-turn conversations and multimodal handling, and offers several ways to connect the resulting APPlications to existing enterprise systems. Knowledge handling relies on retrieval-augmented generation, so agents can answer with Business-specific context instead of generic model ouTPUt.

Key capabilities

• Agent builder: basic and advanced prompt modes, plugin and knowledge-base attachment, web search, and Multi-Agent Collaboration.
• Visual workflows: dRAG-and-drop orchestration of nodes for complex business logic, multi-turn dialogue, and multimodal tasks.
• Knowledge management: enterprise knowledge bases with document ingestion, custom segmentation and preprocessing rules, and configurable retrieval and rAnking.
• Batch eValuation: test sets for scoring agents across text and multimodal models, including single-turn and multi-turn scenariOS.
• Integration options: API, SDK, and URL embedding so applications can sit inside existing systems.
• templates and plugins: ready-made scenario templates and a plugin library that can be adapted quickly for production use.
• deployment and SECurity: Private Deployment, cloud or intranet agents, local Knowledge Bases, and appliance-style hardware options.

Who it is for

Zhipu Qingliu targets enterprises that want to move from experimentation to production AI without heavy engineering overhead. Typical uses include customer service automation, Intelligent data analysis, internal knowledge assistance, and Personalized product recommendation. It suits teams that need governance, data isolation, and integration with legacy systems, as well as organizations that prefer guided implementation support over purely self-service tooling.

How to get started

Access is through the web, and the product is primarily documented in Simplified Chinese, so non-Chinese teams may need translation support. A prACTical path is to begin with a template or a small knowledge base, build a first agent, then extend it into a workflow and connect it to a test system through an API or URL. running a small evaluation set before wider rollout helps confirm answer quality.

Pricing and access

Pricing is not clearly published in the source material and may vary by deployment model, usage volume, and support level; enterprise and private deployment plans are typically quoted indiVidually. Some capabilities may require a paid account or contractual arrangement, so confirm current terms with the provider before comMITting. Availability, feature scope, and free-tier limits can change, and details may vary by region.