Framework · Low-Code Platforms

AppBuilder

Provide an Agent-centred, one-stop application development platform on Baidu's Qianfan cloud where a builder composes a RAG-and-tool-using agent from Baidu-ecosystem Components and MCP services, with workflow orchestration exposed both as a hosted console and as an open-source Python SDK.

Description

AppBuilder is Baidu's hosted, low-code agent platform on the Qianfan large-model cloud. Per Baidu's product page it is the '以Agent为核心的一站式企业级大模型服务平台' (Agent-centred one-stop enterprise large-model platform), built around four pillars: 'Agent引擎、工具及MCP、模型服务与企业级服务' (Agent engine, tools and MCP, model services, enterprise services). The companion AppBuilder-SDK on GitHub is Apache-2.0 and exposes 'Message、Component、AgentRuntime多级工作流抽象' (Message / Component / AgentRuntime multi-level workflow abstractions) over '40+个源于百度生态的优质组件' (40+ premium components from the Baidu ecosystem) for building production RAG applications.

Solution

Two surfaces share one conceptual model. In the hosted Qianfan AppBuilder console, a builder assembles an Agent from a system prompt, a Knowledge Base (RAG), Components/Skills (callable tools), MCP services, and optionally a Multi-Agent orchestration graph that routes a turn across specialised sub-agents. In code, the AppBuilder-SDK exposes the same loop through three abstraction levels — Message (the data unit), Component (a callable RAG/tool node), and AgentRuntime (the orchestrator that runs a workflow over Components). RAG is realised as a chain of typed Components covering document parsing, chunking, embedding, indexing, retrieval, and answer generation.

Primary use cases

  • no-code/low-code agent building on Qianfan with Baidu-ecosystem components
  • production RAG over enterprise documents (parse → chunk → embed → index → retrieve → generate)
  • multi-agent orchestration through the Multi-Agent engine
  • tool/MCP integration via curated Skill marketplace and MCP services
  • code-level extension via the open-source AppBuilder-SDK

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