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