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
Spring Boot Redis Cache Example using @Cacheable, @CachePut and @CacheEvict java Redis Spring Boot Spring Boot 3 by devs5003 - June 10, 2026July 16, 20260 Spring Boot Redis Cache Example using @Cacheable, @CachePut and @CacheEvict Many times, we observe that our Spring Boot application becomes slow when it repeatedly fetches the same data from the database. In such cases, caching is one of the best techniques to improve application performance. If your application is read-heavy, adding Redis can instantly cut down response times and reduce database load. Redis is one of the most popular in-memory data stores used for implementing high-performance caching in Spring Boot applications. By storing frequently accessed data in memory, Redis can dramatically reduce database load and improve application response times. Spring Boot simplifies cache management through its powerful caching abstraction. With annotations such as @Cacheable, @CachePut, and @CacheEvict, developers can add caching capabilities with
Spring Boot Interview QnA (2026)- Spring Boot 3.x Included Interview java Spring Boot Spring Boot 3 by devs5003 - May 13, 2026July 16, 20260 Spring Boot Interview QnA (2026) Spring Boot is now the default choice for building Java backend and microservices applications, so it appears in almost every Java interview. This article collects the most important Spring Boot interview questions with simple explanations, diagrams, and code examples so even beginners can follow along. Basics of Spring Boot: Spring Boot Interview QnA 1. What is Spring Boot? Short answer: Spring Boot is a framework built on top of the Spring Framework that makes it easy to create production‑ready, stand‑alone applications with minimal configuration. Simple explanation: Traditional Spring needs a lot of XML/Java configuration, manual server setup, and dependency management. Spring Boot gives you sensible defaults, auto‑configuration, and embedded servers (like Tomcat), so you can focus on writing business logic instead of infrastructure
Spring Boot Configuration Priority Order: CLI, Env Vars & Profiles java Spring Spring Boot Spring Boot 3 Spring Core by devs5003 - May 11, 2026May 19, 20260 Spring Boot Configuration Priority Order If you have ever stared at your Spring Boot application wondering "Why is it picking the wrong port?" or "Where is this database URL coming from?" You are not alone. One of the most common sources of confusion among Java developers is how Spring Boot decides which configuration value to use when the same property is defined in multiple places. This guide breaks down the externalized configuration property priority into a simple, visual hierarchy that you can bookmark for your next project or technical interview. What Is Externalized Configuration in Spring Boot? As per Spring Boot official documentation on externalized configuration, Externalized configuration means keeping your application settings outside your compiled code so you can change behavior without rebuilding the JAR. Spring Boot supports multiple
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
12 Essential AI Terms Java Developer Must Know in 2026 AI for developers and Programmers Core Java java Microservices Spring Boot by devs5003 - March 12, 2026April 2, 20260 12 Essential AI Terms Java Developer Must Know in 2026 Artificial Intelligence is quickly transforming how backend systems are designed. In 2026, Java developers are no longer just building REST APIs or microservices, but they are integrating AI capabilities directly into enterprise systems also. Here is the comprehensive guide to essential AI terms for Java developers, complete with Spring Boot code snippets. Integrating modern AI concepts into existing microservices architectures is becoming a critical skill for backend developers. Understanding AI concepts for Java developers is becoming essential as modern backend systems integrate AI capabilities. This guide explains 12 essential AI terms Java developer must know, along with Spring Boot integration examples, system design insights, and interview-ready explanations. Modern applications now include: AI-powered search automated
What Interviewers Look for in Java Interviews: An Interviewer’s Score Card Core Java Interview java Microservices Programming Spring Boot Spring Boot 3 by devs5003 - February 24, 2026April 1, 20260 What Interviewers Look for in Java Interviews: An Interviewer’s Score Card If you’ve ever walked out of a Java interview thinking, “I answered everything… so what went wrong?”, This article is for you. Most Java developers who fail interviews are not bad developers. They're actually quite good. They know their Collections. They've worked with Spring Boot. They've built microservices. Some of them have better code on GitHub than the person who interviewed them. And yet, they got rejected. Why? Because interviews don't just test what you know. They test how you communicate what you know. And most developers have never been told what the interviewer is actually writing while they speak. I've been on both sides of this table. As a candidate, I failed interviews I