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Neo4j Brings GraphRAG Capabilities for GenAI to Google Cloud

We're thrilled to announce new native integrations with Google Cloud and Vertex AI that solve a critical challenge in GenAI development: accessing contextually rich external data to deliver accurate, explainable results. The integrations streamline the implementation of GraphRAG, a responsive... 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


Abhishek Das

This Week in Neo4j: Data Journalism, LLMs, Object Mapping, Cypher and more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! Do you remember the ICIJ from the Panama Papers? They published an update with new features to Datashare - their platform for investigative journalists. Also this week, we look at LLM-powered... read more