This Week in Neo4j: Linux Foundation, GraphQL, Cypher, Llamaindex, GraphRAG and more
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Senior Developer Marketing Manager
3 min read
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Welcome to This Week in Neo4j, your fix for news from the world of graph databases!
In today’s edition, we are calling out to all GraphQL developers for a competition while testing GraphQL for Neo4j AuraDB. Money and Swag awaits! Beyond this competition, Neo4j joined the Linux Foundation for AI and Data (LFAI), we write Cypher Queries more easily, dive into agentic workflows using LlamaIndex and hear firsthand about Knowledge Graph and GraphRAG implementations.
Join our Neo4j User 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, hear about what we are working on, and more!
Happy Graphing,
Alexander Erdl
COMING UP NEXT!
- Livestream: Building Model Native Apps With Hypermode & Neo4j on February 19
- Conferences: Find us at DevWorld Amsterdam on February 27-28
- Meetup: Meet us in London, UK on February 20, Pune, IN on February 22, Charlotte, US & Singapore, SG on February 26
- All Neo4j Events: Webinars and More
- GraphSummit Series: Transform Your Enterprise with Graph and GenAI – Next Stop: Copenhagen on March 4
FEATURED COMMUNITY MEMBER: Jevonia Harris
From programming to faculty support to project management and everything in between, Jevonia supports the systems that support the University.
Connect with her on LinkedIn.
In her session at NODES 2024 “Generating Faculty Specific Course Materials With Neo4j and Claude”, together with Joseph Naccarato she shows a dynamic knowledge graph she built from class recordings to generate AI-driven, course-specific learning aids, empowering faculty and students with personalised and effective educational tools.
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LINUX FOUNDATION: Neo4j Joins Linux Foundation for AI and Data
We’re proud to announce that Neo4j has joined the Linux Foundation for AI and Data (LFAI). LFAI, which started with the rise of deep learning, is the leading community organisation for open-source software artificial intelligence (OSS AI). Its Generative AI Commons supports organisations looking to collaborate on ethical, open-source GenAI innovations.GRAPHQL: Win a $250 Gift Card: Build Conway’s Game of Life With GraphQL for AuraDB Beta
We invite developers to participate in an exciting competition to test GraphQL for Neo4j AuraDB in its pre-release beta phase. Your participation will help us refine the technology before its official launch, and as a thank you for your time and effort, we’re offering the winner a $250 gift card and a Neo4j T-shirt!CYPHER: Visual Cypher Builder — Querying Neo4j for Everyone
Niels de Jong shows us in this article how to simplify the creation of Cypher queries for Neo4j, making graph database querying more accessible to users without extensive coding experience.LLAMAINDEX: Building knowledge graph agents with LlamaIndex Workflows
In this article, Tomaz Bratanic discusses enhancing the accuracy of AI-generated Cypher queries for graph databases by implementing multi-step, agentic workflows using LlamaIndex, allowing for retries and alternative query formulations to improve upon traditional single-shot approaches.GRAPHRAG: My Experiment with Neo4j and the Power of Graph-Based RAG
In this post, Rohit Sharma gives a first-person hands-on experience on the challenges in building Knowledge Graphs and how tools like the Neo4j LLM Knowledge Graph Builder help reduce these pains.CONTINUOUS LEARNING
- GraphAcademy: Our GenAI Courses have recently been updated to use the new langchain-neo4j partner package
- Get to Know Graph: Level up your graph skills with webinars packed with practical insights to help you build powerful apps
- Learn on Your Schedule: Go deeper into graph technology on Neo4j’s On-Demand webinar library
- New Webinar: When to Use GraphRAG: AI Use Cases That Benefit From Connected Data – AMER, EMEA, Asia Pacific
POST OF THE WEEK: Dirk Mahler
Prototyped a #CodeCharta plugin for #jQAssistant over the weekend. This visualisation shows Lines of Code (LoC) as area & Cyclomatic Complexity (CC) as height per class and has been created using a quite straight-forward #Neo4j Cypher query. Seems we’ll welcome a new plugin soon in our eco-system!
— Dirk Mahler (@dirkmahler.bsky.social) 9. Februar 2025 um 18:48
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