Building a GraphRAG Agent With Neo4j and Milvus
Sep 27 7 mins read
Learn how to build a GraphRAG agent using Neo4j and Milvus, combining graph and vector search for enhanced retrieval, better context, and accurate answers. Read more →
Vectors and Graphs: Better Together
Sep 06 12 mins read
Learn how combing vectors and graphs boosts AI’s ability to reason, helping uncover deeper insights and create smarter queries for complex data. Read more →
Enriching Vector Search With Graph Traversal Using the GraphRAG Python Package
Aug 16 5 mins read
Learn Neo4j GraphRAG Python package's capabilities and how to further customize and improve your applications by using the other included retrievers. Read more →
GenAI Starter Kit: Everything You Need to Build an Application with Spring AI in Java
Jun 11 7 mins read
Photo by Growtika on UnsplashThere are so many options when it comes to languages, frameworks, and tools for building generative AI (GenAI) applications. When you are just getting started, these decisions and figuring out how to integrate everything can be overwhelming.My… Read more →
Going Meta: Wrapping Up GraphRAG, Vectors, and Knowledge Graphs
May 14 3 mins read
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. Read more →
genaigraph-databasegraphragknowledge-graphllmNeo4jontologyragretrieval augmented generationsemantic searchsemanticsvectorvector search
Introduction to Vector Indexes and Unstructured Data – New GraphAcademy Course
Mar 30 2 mins read
Learn how Neo4j can help you make sense of your unstructured data. Enroll in this new free course on GraphAcademy.There’s a new course on GraphAcademy: Introduction to Vector Indexes and Unstructured Data.This course teaches you to understand unstructured data using… Read more →
