Spring AI

Headlines · 3

1. 17h
   Comparing Four Ways to Connect qwen-plus in a Spring Boot App

   A Juejin AI tutorial implements the same “你是谁？” prompt with qwen-plus through DashScope’s official Java SDK, direct HTTP, Spring AI with Spring AI Alibaba, and LangChain4j. The author recommends using the official SDK to verify credentials, model configuration, and connectivity before moving to Spring AI for business development, while presenting HTTP as a protocol-inspection option and LangChain4j as the shortest but community-dependent implementation.

   掘金 · 人工智能 · 🔥 3
2. 6d
   A Beginner’s Guide to Spring AI Application Development

   A Juejin article presents a beginner-oriented introduction to AI application development for backend developers familiar with Spring Boot. It explains architecture, RAG, Tool Calling, MCP, Spring AI Advisors, memory, vector retrieval and Agent/ReAct concepts, alongside runnable code and five implementation pitfalls. The article also compares Alibaba Cloud Bailian and DashScope and discusses how models can be accessed through cloud services, self-hosted deployments, platforms, clients and code.

   掘金 · 人工智能 · 🔥 0
3. 7d
   How Enterprise AI Agents Should Be Evaluated Before Production

   QCoding argues that an AI agent can produce a correct final answer while its execution path remains flawed, such as selecting the wrong tool, making duplicate calls, or entering a loop. The article divides enterprise agent evaluation into result, process, and engineering evaluation, covering task success, answer groundedness, tool accuracy, trajectories, latency, token use, and release gates. It says Spring AI provides relevancy and fact-checking evaluators plus traceable tool-calling loops, but applications must still define business-specific correctness and thresholds.

   掘金 · 人工智能 · 🔥 0

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