---
title: "RAG with Spring AI"
url: https://daily.dev/posts/rag-with-spring-ai-aalrsnemm
source_url: https://medium.com/javarevisited/rag-with-spring-ai-3fe2920c0c46
type: article
source: "Javarevisited"
published: 2025-12-06T14:26:30.446Z
updated: 2025-12-06T14:26:54.930Z
tags: ["machine-learning", "java", "openai", "postgresql", "spring"]
reading_time: 7
upvotes: 6
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# RAG with Spring AI

**[Javarevisited](https://daily.dev/sources/javarevisited)** · 7 min read · 6 upvotes · 0 comments

## Summary

Explores implementing Retrieval-Augmented Generation (RAG) using Spring AI framework for Java developers. Covers setting up a Spring Boot application with OpenAI integration and PostgreSQL/PGVector for vector storage, building a document ingestion pipeline for ETL operations, and using the QuestionAnswerAdvisor API to create context-aware LLM responses. Discusses advantages of Spring AI over LangChain4j for enterprise Java environments, including seamless Spring Boot integration and idiomatic Java patterns. Addresses RAG limitations like retrieval quality dependency, context window constraints, and the need for advanced techniques like re-ranking and hybrid search.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/javarevisited/rag-with-spring-ai-3fe2920c0c46>

## Similar posts on daily.dev

- [Building a RAG Application with Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI](https://daily.dev/posts/building-a-rag-application-with-spring-boot-spring-ai-mongodb-atlas-vector-search-and-openai-vhyy5w1do) · InfoQ · 1 upvotes · 0 comments

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#java](https://daily.dev/tags/java), [#openai](https://daily.dev/tags/openai), [#postgresql](https://daily.dev/tags/postgresql), [#spring](https://daily.dev/tags/spring)

[View this post on daily.dev](https://daily.dev/posts/rag-with-spring-ai-aalrsnemm)