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Learn Spring AI and MCP to build agents and LLM applications.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "yu-ai-agent" yet — see the docs or source repo.
Using Spring Boot 3, Java 21, and Spring AI, design a from-scratch project plan for building a ReAct-style agent, including modules, tech stack, development steps, and key code examples.
A practical implementation plan for an AI agent project with architecture, steps, and sample code.
I want to add RAG and a vector database to a Spring AI project. Explain document ingestion, embedding, retrieval flow, dependency setup, and provide sample code.
A guide for integrating RAG features to build knowledge-base retrieval augmentation.
Show how to implement Tool Calling and MCP integration in a Spring AI application, including tool definition, invocation flow, context passing, and debugging tips.
Implementation guidance, configuration patterns, and debugging practices for Tool Calling and MCP.
Help AI coding agents build, debug, and improve Spring Boot projects.
Build and deploy serverless AI agents on geo-distributed edge infrastructure.
Provide Git-native project memory for AI coding agents with safe, reviewable context.
Collaborate with AI agents to solve complex tasks, search knowledge, and use tools.
Explore in-depth tutorials on LAGs, RAGs, and real-world AI agents.
Build a personal AI assistant to connect tools and automate local work.