https://devops-monk.com/tags/rag/Recent content in Rag on Devops MonkHugoen-usSun, 03 May 2026 00:00:00 +0000https://devops-monk.com/2026/05/spring-ai-rag-application/Sun, 03 May 2026 00:00:00 +0000https://devops-monk.com/2026/05/spring-ai-rag-application/Spring AI 1.0 GA shipped in May 2025. It brings the Spring programming model to AI development: a unified ChatClient API that works across Claude, OpenAI, Gemini, Ollama, and Azure OpenAI — switching AI providers is changing one dependency. This guide builds a complete RAG (Retrieval-Augmented Generation) application that answers questions about your documentation using any AI provider. What Is RAG? A large language model (LLM) knows everything in its training data but nothing about your specific documents, code, or business data.https://devops-monk.com/tutorials/spring-boot/spring-boot-spring-ai-rag/Sun, 03 May 2026 00:00:00 +0000https://devops-monk.com/tutorials/spring-boot/spring-boot-spring-ai-rag/Large language models know a lot — but not about your data. RAG (Retrieval-Augmented Generation) solves this: find the relevant context from your documents, inject it into the prompt, and let the model answer grounded in your data. This article builds a complete RAG API with Spring AI 2.0. What You’ll Build A Q&A API over your product documentation: User: "What's the return policy for electronics?" → Search vector store for relevant docs → Inject matching paragraphs into prompt → Claude/GPT answers based on your actual docs Without RAG: the LLM guesses or hallucinate your policy.