Efficient Agent Application Building
The platform offers multiple application development methods and includes built-in DeepSeek R1 and V3 models, enabling enterprises to quickly build and deploy enterprise-grade RAG applications using the platform’s agent templates, helping organizations reduce the barriers to adopting intelligent agent applications, improve development efficiency, and create high-value AI solutions. Additionally, ADP supports users in adding their own OpenAI-compatible custom models as generation models within agent applications. The platform also supports flexible workflow orchestration, allowing enterprises to rapidly connect APIs, build intelligent workflows, and ensure more stable and controllable agent output.
Leading Agent Conversational Performance
For no-code Q&A applications, large language models may struggle to answer private or domain-specific questions. However, with Tencent Cloud’s built-in OCR, LLM+RAG, MLLM, and other capabilities, agents can accurately analyze and extract information from complex documents, improving response accuracy and efficiency. Users simply need to input documents or Q&A pairs, allowing the agent to automatically connect to multi-modal knowledge and provide stable, accurate knowledge-based answers.
Comprehensive Agent Development Framework
The platform offers three Agent development frameworks – LLM+RAG, Multi-agent, and Workflow – with an all-in-one toolchain supporting application configuration, debugging, evaluation, and deployment to help businesses lower the barrier to Agent development.
Extensive Agent Plugin Library
The platform provides a curated selection of official MCP plugins for users to choose from. If official plugins do not meet real-world needs, users can also add and use their own custom plugins.