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Welcome to Hello ADP

Learn the Tencent Cloud Agent Development Platform from scratch.

What Is This?

Hello ADP is a tutorial project to introduce the fundamentals of the Tencent Cloud Agent Development Platform (ADP). It offers a friendly overview of the platform and points you toward hands-on examples that help you build confidence step by step.

Browse the guides, follow the samples, and start your ADP journey today.

👋 Stay Connected

What Is the Tencent Cloud Agent Development Platform?

The Tencent Cloud Agent Development Platform (ADP) is an enterprise-grade system for building intelligent agents. It brings together LLM + RAG retrieval, automated workflows, and multi-agent collaboration so teams can deliver reliable, secure, business-ready solutions faster.

Platform Highlights

Industry-leading conversational quality

  • Built-in best-practice flows paired with advanced RAG algorithms
  • Connect enterprise knowledge bases, including multimodal assets, with ease
  • Visual workflow canvas lets you plug in existing enterprise APIs quickly

Comprehensive development toolkit

  • Supports LLM + RAG, multi-agent, and workflow-based architectures
  • Provides an end-to-end toolchain for configuration, debugging, evaluation, and launch
  • Lowers the barrier to entry while improving iteration speed

Rich resource library

  • Ships with curated official plugins plus the full MCP plugin ecosystem
  • Covers intelligent document parsing, iterative rewriting, embeddings, and more
  • Gives you the core building blocks required for production-ready agents

Where Can You Use It?

Intelligent customer service Leverage Tencent Cloud domain models to deliver highly specialized customer support. Boost knowledge production, coverage, and answer accuracy all at once.

Enterprise knowledge assistants Search and converse over enterprise knowledge bases with multimodal content comprehension, analysis, retrieval, and Q&A—perfect for smart documentation portals.

In-vehicle assistants Blend with automotive systems to provide contextual answers, interpret manuals, and power natural in-car experiences through voice or touch.

What’s Next?

Steven Lynn
Steven Lynn

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