Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...
The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.
Also, Spring AI provides the fundamental building blocks to build true agentic solutions, for example: Document loaders Vector databases integrations Prompting templates MCP tools Agentic memory and ...
QA AI Engineer | Playwright| Selenium WebDriver & API Automation Specialist | Desktop Automation with WinAppDriver | MS AI 900 Certified | YouTube Creator with 6.3K+ Subscribers | Git lab Pipelines ...
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