Want to let the big language model help you organize your computer desktop easily? This article explains it in detail! Based on the MCP protocol, use Golang to build an intelligent cleaning system, and combine the big language model to achieve automated operations. It not only introduces the MCP architecture design and communication process, but also the details of Server implementation. New...

In-depth analysis of how AI assistants can improve efficiency and accuracy with the help of Model Context Provider (MCP). Detailed explanation of the MCP workflow, including key steps such as receiving user requests and analyzing intent. Explore the construction of dynamic prompt words to unveil the mystery of the RAG technology principle. There is also a comprehensive RAG technology overview...

In-depth analysis of the core mechanism of the big language model! This article will help you understand the differences between Function Calling, MCP, and A2A. It will explain in detail the technical principles and technical architecture of the big model, such as how Function Calling solves the problem of real-time update of big model knowledge, and how MCP reduces the cost of connecting...

Explore the RAG practice in the AI ​​agent framework MetaGPT, and introduce its functions, installation and deployment, and local configuration in detail. MetaGPT integrates llama_index to implement RAG, which has a good user experience and also shares convenient installation and deployment methods. Want to learn more about RAG technology and RAG technology framework? Click to read!

Explore the secrets of innovation in the AI ​​field and learn how RAG and Playoff prompts can help optimize decision making. This article deeply analyzes the Playoff prompt framework, which is specifically designed to cure mediocre AI answers and provide excellent solutions for creative ideas, strategy formulation, etc. Want to get more practical tips? Click to read!

This article discusses the technical implementation of building AI Agents with scalable long-term memory. The core is to solve the fixed context window limitation of large models. The article introduces key technologies such as RAG, including dynamic extraction and integration of retrieval information, graph-based memory representation, etc., and deeply analyzes the technical principles and...

In-depth analysis of the 2025 OpenAI and Google Agent white papers, interpreting the technical principles behind AI big models. Compare the differences between the two in the technical principles of big models, and analyze the core points of the big model technology white papers in detail. Unveil the mystery of AI big models for you and help you fully and deeply understand them. Click to read!

Explore new breakthroughs in the field of RAG! This article deeply analyzes the defects of the current RAG technical framework, such as the distant structural relationship between semantically similar entities and the gap between local and global knowledge. To this end, a retrieval enhancement generation framework based on hierarchical knowledge (HiRAG) is proposed to fully tap the potential...

Explore new breakthroughs in AI tools! Xingyun Integrated Circuit launched the DeepSeek all-in-one machine "Brown Ant" for only 100,000 yuan, which can run a full-blooded large model at a speed of 20 tokens/s. It supports a variety of data precisions and models, breaking the monopoly of computing power in the all-in-one machine market. In-depth analysis of the technical principles and...

Take a deep dive into the latest developments of big language models! This article reveals a panoramic view of AI Agent communication protocols in big language models, and analyzes the status quo and principles of big model technology. It shows you how to break information silos and build intelligent networks. Whether it is academic research results or classification frameworks in practical...