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AI Large Model Application Practice
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AI Large Model Application Practice

Focused on deep research and development of large-model applications. Authors of "RAG Application Development and Optimization Based on Large Models" and "MCP Principles Unveiled and Development Guide". Primarily B2B, with B2C as a supplement.

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Recent Articles

Latest from AI Large Model Application Practice

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AI Large Model Application Practice
AI Large Model Application Practice
May 6, 2025 · Artificial Intelligence

How to Build an Agentic RAG System from Scratch Using MCP Architecture

This article walks through the design and full implementation of an Agentic Retrieval‑Augmented Generation (RAG) system built on the MCP standard, covering the conceptual fusion of MCP and RAG, server‑side tool creation with LlamaIndex, client‑side agent construction with LangGraph, configuration files, caching strategies, code examples, and an end‑to‑end demonstration.

Agentic RAGLLMLangGraph
0 likes · 15 min read
How to Build an Agentic RAG System from Scratch Using MCP Architecture
AI Large Model Application Practice
AI Large Model Application Practice
Apr 21, 2025 · Artificial Intelligence

How to Scale Distributed AI Agent Systems: Architectures, Challenges, and Solutions

The article explains why modern AI agent systems need horizontal and vertical scaling, outlines the engineering challenges such as state consistency, scheduling, protocol design, and message efficiency, and compares three collaboration approaches—AutoGen's distributed runtime, classic RPC/MCP, and Google's A2A—while providing concrete code examples and deployment steps.

A2AAI agentsAutoGen
0 likes · 14 min read
How to Scale Distributed AI Agent Systems: Architectures, Challenges, and Solutions
AI Large Model Application Practice
AI Large Model Application Practice
Apr 14, 2025 · Artificial Intelligence

What Is Google’s New Agent2Agent (A2A) Protocol and How Does It Enable AI Agent Interoperability?

This article explains the motivation behind Google’s Agent2Agent (A2A) protocol, describes its architecture and key components, compares it with the MCP protocol, and provides a step‑by‑step demo with code showing how to build, run, and test an A2A‑enabled AI agent system.

A2AAI interoperabilityAgent2Agent
0 likes · 14 min read
What Is Google’s New Agent2Agent (A2A) Protocol and How Does It Enable AI Agent Interoperability?
AI Large Model Application Practice
AI Large Model Application Practice
Apr 7, 2025 · Artificial Intelligence

8 Leading LLM Agent Frameworks and How to Plug In MCP Server

This article surveys eight popular large‑language‑model (LLM) agent development frameworks—OpenAI Agents SDK, LangGraph, LlamaIndex, AutoGen, Pydantic AI, SmolAgents, Camel, and CrewAI—explaining each’s key features and providing concrete Python code to integrate the MCP Server for tool access.

FrameworksLLMMCP
0 likes · 15 min read
8 Leading LLM Agent Frameworks and How to Plug In MCP Server
AI Large Model Application Practice
AI Large Model Application Practice
Mar 18, 2025 · Artificial Intelligence

Master OpenAI’s New Agents SDK: 10 Core Concepts with a Complete Example

This guide walks you through OpenAI's open‑source Agents SDK, explaining ten essential concepts—from model configuration and agent creation to runners, tools, context handling, guardrails, handoffs, structured output, tracing, and orchestration—while providing runnable Python code and visual demos.

Agent DevelopmentGuardrailsLLM
0 likes · 17 min read
Master OpenAI’s New Agents SDK: 10 Core Concepts with a Complete Example