Build a RAG Pipeline with Spring Boot and Vector Search

This tutorial shows developers how to build a Retrieval-Augmented Generation (RAG) pipeline using Spring Boot, OpenAI, and PGVector. It covers document ingestion, chunking, embedding, and vector search to answer questions from custom documents. The guide includes code for a DocumentIngestionService and dependencies for Spring AI starters.