Michael Inden • 5/18/2026

Building a GraphRAG Application with Spring AI Advisors

This article provides a comprehensive walkthrough for building a GraphRAG (Graph Retrieval-Augmented Generation) application using the Spring AI Advisors API. It explains how the advisor API simplifies interactions between LLMs and applications through reusable components. The example uses a Neo4j graph database populated with Goodreads data (books, reviews, authors, users) and embeddings for semantic search. Readers learn to create a book recommendation system that combines graph retrieval with vector embeddings, demonstrating practical use of Spring AI for GraphRAG.

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#llm #Rag #Spring AI