Hands On Building Agents
summary
Hands-on build of a Spring AI agent that connects Java 25 + Spring Boot to Amazon Bedrock (Nova Light chat, Cohere embeddings) and Postgres with pgvector, using Spring AI 1.1 to add chat memory, RAG-ready similarity search, and an advisor that injects retrieved dog profiles into prompts. The app indexes dog descriptions, finds “Prancer,” and calls a tool-annotated scheduling method (returns pickup three days hence); that tool is then moved to an external MCP server and consumed by the agent. Few lines of config and ~6 lines of code establish the LLM dial tone.
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chapters (5)
- 0:00Introduction and setup
- 14:28Spring fundamentals overview
- 29:24Building Spring AI app
- 35:01Adding tools and MCP
- 42:27Workshop instructions and Q&A
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