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AI Agent 从入门到实战：概念理解、MCP 使用、平台实操、工作流自动化
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Building RAG Applications: The Complete Production Guide 2025
From simple document Q&A to enterprise-grade RAG systems that actually work
Retrieval-Augmented Generation (RAG) is the foundation of most AI applications. This comprehensive guide covers the full production RAG stack: document processing and chunking strategies, embedding model selection, vector database architecture, retrieval optimization (hybrid search, re-ranking), query transformation techniques, evaluation frameworks, and scaling considerations. Includes architecture patterns for legal, healthcare, and technical documentation use cases.
AI Agent Frameworks Compared: LangChain vs LlamaIndex vs AutoGen vs CrewAI
Which AI agent framework should you choose for production applications in 2025?
The AI agent framework landscape has exploded: LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph, Phidata, and dozens of others. This comparison analyzes each framework across production readiness, learning curve, flexibility, performance, and ecosystem maturity. Includes architecture recommendations for different use cases: single-agent tools, multi-agent systems, RAG applications, and enterprise deployments.