LLM-as-a-Judge in Spring AI: A Practical Guide AI for developers and Programmers java Spring Spring AI Spring Boot by devs5003 - August 16, 2026August 20, 20260 LLM-as-a-Judge in Spring AI: A Practical Guide Imagine you have just built a Spring AI application that answers customer questions from your company's knowledge base. The application works beautifully in your local environment. You ask, "What is your refund policy?" and the AI gives a clear, confident answer. But then comes the uncomfortable question every developer eventually asks: How do you know the answer is actually good? Traditional software gives us familiar ways to test this. We can assert that a method returns the expected value, check whether an API returns HTTP 200, or verify that a database contains the expected record. Generative AI is different. The same question can produce different answers, and a response can sound perfectly convincing while being incomplete, irrelevant,
Spring AI Evaluation Testing: How to Test LLM Responses AI for developers and Programmers java LLM RAG in AI Spring AI Spring Boot by devs5003 - August 9, 2026August 16, 20260 Spring AI Evaluation Testing: How to Test LLM Responses Large Language Models (LLMs) like OpenAI GPT, Gemini, Claude, and Llama have transformed how modern applications generate content, answer questions, summarize documents, and even write code. With the introduction of Spring AI, integrating these powerful AI models into Spring Boot applications has become much easier for Java developers. However, there's one important question every developer should ask: How do we know whether an AI-generated response is actually correct, relevant, and reliable? Unlike traditional software, LLMs don't always produce the same output for the same input. Their responses can vary in wording, accuracy, completeness, and even contain incorrect or misleading information (often called hallucinations). Because of this, simply checking whether your API returns a response is
AI Document Search with Spring Boot Using OpenAI and Redis Vector Store AI for developers and Programmers java Redis Spring Spring AI Spring Boot by devs5003 - July 22, 2026July 25, 20260 AI Document Search with Spring Boot Using OpenAI and Redis Vector Store 2026 Keyword search finds documents that contain your exact words. AI-powered document search finds documents that match what you mean, even when the wording is completely different. In this tutorial, we'll build a working document search API in Spring Boot that stores document embeddings in Redis and ranks results by meaning, not keywords. By the end you'll have a /api/search endpoint, a document ingestion pipeline, and a bonus RAG endpoint that answers questions using your own documents. What You Will Learn What embeddings and vector similarity search actually are, in plain terms How to wire Spring AI's OpenAI starter and Redis Vector Store starter into a Spring Boot 4.1 project
How to Implement AI Chat Memory in Spring Boot Using Spring AI AI for developers and Programmers Core Java Spring AI Spring Boot by devs5003 - July 16, 2026July 22, 20260 How to Implement AI Chat Memory in Spring Boot Using Spring AI Imagine asking an AI assistant, "My name is John," followed by "What's my name?" If the assistant replies, "I don't know," your application feels broken. Modern AI applications must remember previous conversations to provide natural, context-aware interactions. This is exactly what Spring AI Chat Memory solves. Instead of manually storing and appending every previous message, Spring AI offers a clean abstraction that automatically manages conversation history. With just a few configuration changes, your chatbot can remember user preferences, previous questions, and ongoing discussions. In this tutorial, we'll build a production-ready AI chatbot with memory using Spring Boot and Spring AI. By default, large language models are stateless: they forget everything the moment a
How to Build RAG with Spring AI and pgvector AI for developers and Programmers java RAG in AI Spring Spring AI Spring Boot by devs5003 - July 6, 2026July 22, 20260 How to Build RAG with Spring AI and pgvector: Full Tutorial 2026 Every large language model has a hard cutoff. Ask it about your company's internal onboarding policy, a document uploaded yesterday, or last week's product release, and it either admits it does not know or, worse, makes something up that sounds confident and correct. Your LLM cannot answer questions about last week's internal policy update, your product's latest release notes, or a PDF sitting in your company's document store. It only knows what it was trained on. RAG fixes that by handing the model your own data at query time, and Spring AI makes the whole pipeline buildable in plain Java. What You Will Learn A Retrieval-Augmented Generation application built with Spring AI
What Is RAG in AI? A Simple Guide for Developers 2026 AI for developers and Programmers RAG in AI by devs5003 - July 6, 2026July 22, 20260 What Is RAG in AI? A Simple Guide for Developers 2026 Have you ever asked an AI assistant a question about your company's internal documentation or your application's codebase, only to receive a confident, but completely incorrect answer? This is one of the biggest limitations of Large Language Models (LLMs). While models like GPT, Claude, and Gemini are incredibly capable, they only know what they were trained on and cannot magically access your latest documentation, databases, or private knowledge. As a result, they may "hallucinate" producing answers that sound convincing but are inaccurate or outdated. This is where Retrieval-Augmented Generation (RAG) comes in. Rather than relying solely on the model's built-in knowledge, RAG first retrieves relevant information from trusted sources such as PDFs, databases,
Build Your First MCP Server with Spring Boot 4.1 and Spring AI 2.0 AI for developers and Programmers java MCP Spring AI by devs5003 - July 1, 2026July 6, 20260 Build Your First MCP Server with Spring Boot and Spring AI 2.0 Your Spring Boot services already hold years of business logic. The Model Context Protocol (MCP) is the protocol that lets AI models like Claude, GPT-4, or GitHub Copilot reach into those services and use them as callable tools. This tutorial shows you exactly how to build an MCP server using Spring Boot 4.1 and the brand-new Spring AI 2.0 GA (released June 2026). No prior AI experience needed. If you know Spring Boot, you are already most of the way there. (Java 21 + Spring Boot 4.1 + Spring AI 2.0) Spring AI 2.0.0 went GA on June 12, 2026, a major release that introduces the @McpTool/@McpResource annotation API, deprecates SSE transport
AI-Assisted Software Development (2026 Practical Guide) AI for developers and Programmers Core Java java by devs5003 - June 15, 2026August 16, 20260 AI-Assisted Software Development: A Practical Guide for Developers AI-Assisted Software Development is changing the way developers write, test, review, and maintain code. Today, many developers use AI coding assistants to generate boilerplate code, explain errors, write unit tests, refactor legacy code, and understand unfamiliar projects faster. However, AI should not be used blindly. It is a helper, not a replacement for developer knowledge. In this article, we will learn how to use AI in software development in a practical and safe way. Applications are becoming more complex, user expectations are rising, and development timelines are shrinking. In this environment, developers are constantly looking for ways to work faster, smarter, and more efficiently. This is where AI-assisted software development comes into the picture. Instead of working alone, developers
Spring AI with Gemini Free Tier: Build AI-Powered Java Apps AI for developers and Programmers Google Gemini java Spring Spring AI Spring Boot by devs5003 - May 6, 2026May 8, 20260 Spring AI with Gemini (Free Tier): Build AI-Powered Java Apps Without Spending a Penny If you've been working to add AI capabilities to your Spring Boot applications but didn't want to deal with billing accounts or complex cloud setups, this guide is exactly for you. Google provides a free tier for its Gemini models via Google AI Studio, and Spring AI makes consuming it surprisingly simple. No Vertex AI. No Google Cloud project. Just an API key and a few lines of Java code. Let's walk through everything from scratch. What is Spring AI? Spring AI is a framework that brings the power of Large Language Models (LLMs) into the familiar world of Spring Boot. Think of it like Spring Data, but for AI;
Java Interview Preparation Mentorship Programs 2026 (Freshers to Experienced) AI for developers and Programmers Core Java Interview java Microservices Spring Boot by devs5003 - April 21, 2026May 3, 20260 Java Interview Preparation Mentorship Programs 2026 (Freshers to Experienced) You can watch all the Java tutorials in the world, but knowing the syntax and delivering it flawlessly under the pressure of a live interview are two completely different skills. The tech industry has changed. Today, MNCs and product companies do not just hire "coders." They hire engineers who can articulate their thoughts, design scalable architectures, and leverage AI to build faster than anyone else in the room. If you are a fresher struggling to clear that first crucial technical round, or an experienced developer tired of getting rejected for senior roles because you don't "sound like an architect" you are in the right place. After conducting over 1,000+ mock interviews, we have identified the