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Neo4j is thrilled to collaborate with Microsoft on a unified data offering.

Neo4j Integrates with Microsoft to Evolve Data Analytics and Enhance GenAI

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

Jennifer Abel

This Week in Neo4j: Data Modeling, GenAI, GraphQL, App Development and more

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




Sebastian Lobentanzer

This Week in Neo4j: GraphAcademy, Algorithms, GenAI, Knowledge Graphs and more

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)?

What Is Retrieval-Augmented Generation (RAG)? — Overcoming the Limitations of Fine-Tuning & Vector-Only RAG

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