Spring AI Learning Path

Spring AI helps Java and Spring Boot developers build AI-powered applications using familiar Spring patterns.

This page is the home article for the Spring AI section. Start from the introduction, then move step by step into chat assistants, RAG, PDF knowledge assistants, tool calling, MCP, generators, and enterprise RAG architecture.

Articles in Order

No	Article	What You Will Build
01	Spring AI Introduction: Features, Architecture, and Data Flow	Understand Spring AI features, architecture, chat flow, RAG flow, tools, MCP, memory, and observability
02	Build a Chat Assistant with Spring AI: Step-by-Step Guide	Build a beginner-friendly chat assistant with Spring Boot, ChatClient, REST APIs, streaming, DTOs, and testing
03	RAG with Spring AI and PGVector: Step-by-Step Guide	Implement RAG using PostgreSQL, PGvector, embeddings, vector search, and grounded answers
04	Build a PDF Knowledge Assistant with Spring AI	Upload PDFs, parse content, split text, store embeddings, and ask questions against PDF knowledge
05	Function Calling with Spring AI: Real Use Case Guide	Build a real customer-support assistant that calls Java tools for order lookup, refund checks, and actions
06	Build a Multi-Agent System with Spring AI	Build a practical multi-agent workflow with routing, specialist agents, tools, and structured responses
07	MCP Integration with Spring AI: Step-by-Step Guide	Build MCP server and client integration with Spring AI tools, resources, and business examples
08	Build a SQL Generator with Spring AI	Build a safe natural-language-to-SQL generator with schema context, validation, and execution safeguards
09	Build a Code Generator with Spring AI	Build a safe code generator using structured output, file validation, and controlled project writing
10	Build an Enterprise RAG Platform with Spring AI	Build a production-style RAG platform with tenants, metadata filters, PGvector, citations, and evaluation

Recommended Learning Flow

flowchart TD
    A["01 Introduction"] --> B["02 Chat Assistant"]
    B --> C["03 RAG with PGvector"]
    C --> D["04 PDF Knowledge Assistant"]
    B --> E["05 Function Calling"]
    E --> F["06 Multi-Agent System"]
    F --> G["07 MCP Integration"]
    B --> H["08 SQL Generator"]
    H --> I["09 Code Generator"]
    C --> J["10 Enterprise RAG Platform"]

How to Use This Series

If you are new to Spring AI, follow the articles in numeric order.

If you already know the basics:

• Start with article 03 for RAG.
• Start with article 05 for tool/function calling.
• Start with article 07 for MCP.
• Start with article 10 for enterprise RAG architecture.

Each article contains copy-ready setup, code blocks, input/output examples, diagrams, and practical implementation notes.