Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! This week, we have our latest podcast episode and videos on Haystack and Neo4j Integration; a new guide on Neo4j is coming out, and we look at ERP with graphs. I added a few more links for Graph Database Beginners, including a new introductory training on Vector Indexes. Join our Neo4j Research panel! Sign up to share your experiences with a researcher and influence the future of Neo4j products. What’s in it for you? A chance to connect directly with product development teams, get paid compensation, he ..read more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! If you want to keep up with the latest additions to the GenAI Ecosystem, from course material to libraries and sample projects, we have a page worth bookmarking. We also celebrate the launch of a new book on Graph Data Science and a love letter to Graph Databases. Our segment for Graph Beginners is back this week, with a link to the Introduction to Neo4j Workshop that happened just recently. Join our Neo4j Research panel! Sign up to share your experiences with a researcher and influence the future of N ..read more

Welcome to This Week in Neo4j, your weekly fix for news from the world of graph databases! At Microsoft Fabric, we introduced the native integration with MS Fabric as well as Azure OpenAI Service improving data management, GenAI results as well as reduced AI hallucinations – Watch it in Action. Besides this exciting announcement, this edition features two great new courses about Vector Indexes and RAG with Knowledge Graphs – articles on Graph Clustering and Building a Social Network round us off. Join our Neo4j Research panel! Sign up to share your experiences with a researcher and influence ..read more

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 capabilities—knowledge graphs, data science algorithms, graph-powered RAG, and vector and semantic search— will now be natively integrated into the Microsoft Fabric analytics platform and Microsoft Azure OpenAI Service. Customers using Neo4j, Microsoft Fabric, and Azure OpenAI together can seamlessly combine structured and unst ..read 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 Entity Resolution, look at a curated list of videos about the GenAI Stack, dive into GraphQL and start developing an AI-powered search engine. Additionally, we continued with our Workshop Series. For our final workshop next week, we work with geospatial data! I hope you enjoy this issue, Alexander Erdl   COMING UP NEXT WEEK! Conferences: Find us at Microsoft Fabric – Las Vegas, AWS AI Conclave – Singapore & Aus Government Data Summit – Canberr ..read more

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 outcome. This week, we started with our Workshop Series. The sessions continue the next week. I hope to see you join us! I hope you enjoy this issue, Alexander Erdl   COMING UP NEXT WEEK! Conferences: Find us at KubeCon Paris and AI42 Conference on March 19 Meetup: Meet us Melborne, AUS on March 2 ..read more

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 exciting sessions with a broad range of topics. Don’t forget about O’Reillys Knowledge Graph Course. As readers of our newsletter, you get a free 30-day trial. I hope you enjoy this issue, Alexander Erdl   COMING UP NEXT WEEK! NODES 2023: Watch Recordings Live Stream: Neo4j Live: Entity Resolution ..read 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 newsletter, you get a free 30-day trial. In other news, we have a cool way of looking at Graph Algorithms, learn how to find songs from lyrics and a witty keynote on AI. I hope you enjoy this issue, Alexander Erdl   COMING UP NEXT WEEK! NODES 2023: Watch Recordings Live Stream: Going Meta – Episode 2 ..read more

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 generation (RAG) addresses these fundamental challenges by connecting the LLM to an external data source of truth. In this blog post, we’ll explore RAG, how it works, and when you should implement it. You’ll also learn how to enhance RAG capabilities even further with vector search and knowledge graphs ..read 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 Conversation Interfaces, Object Mapping with .NET and the Cypher Workbench. I would like to draw your attention to our upcoming Training Series in March. We cover a wide range of topics from Introduction to RAG App Deployment to Geospatial Analytics. I am sure you’ll find them useful. I hope you enjoy this issue ..read more