Featured Post
Neo4j Integrates with Microsoft to Evolve Data Analytics and Enhance GenAI
Mar 26 8 mins read
We’re thrilled to collaborate with Microsoft on a unified data offering to uncover hidden data patterns and address critical GenAI challenges, such as the ability to provide personalization and deliver relevant search outcomes through additional context. Neo4j’s graph... read more
This Week in Neo4j: Data Modeling, GenAI, GraphQL, App Development and more
Mar 23 3 mins read
Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! In this week's edition, we use Gemini Pro for Data Modelling, look at a curated list of videos about the GenAI Stack, dive into GraphQL and start developing an AI-powered search engine. Additionally,... read more
This Week in Neo4j: Cypher, GenAI, Podcast, Graph Databases and more
Mar 16 3 mins read
Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! In this edition, we cover a guide on Cypher debugging, JSON-based agents for LLMs and an Intro to Graphs. Our GraphStuff.FM podcast discusses RAG with graphs and what database to choose for the best... read more
This Week in Neo4j: GenAI, Python, SpringAI, PHP and more
Mar 09 3 mins read
Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! The articles in this edition cover GenAI with JavaScript, a user-friendly Python Library, SpringAI and the Neo4j PHP Driver. We are kicking off our Workshop Series next week. I am looking forward to... read more
This Week in Neo4j: GraphAcademy, Algorithms, GenAI, Knowledge Graphs and more
Mar 02 3 mins read
Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! There is a lot of content available for learners in this edition. Besides the updates to GraphAcademy and our Workshops in March, O'Reilly is conducting a Knowledge Graph Course. As readers of our... read more
What Is Retrieval-Augmented Generation (RAG)? — Overcoming the Limitations of Fine-Tuning & Vector-Only RAG
Feb 27 8 mins read
Large language models (LLMs) like GPT are undoubtedly powerful, yet their capabilities are often limited as a standalone, pre-trained tool. LLMs need to be supported with organizational and domain-specific knowledge for accurate, explainable, and context-aware responses. Retrieval-augmented... read more