Neo4j

🤩 Want more details about #Infinigraph? Learn more about property sharding, a key component of Infinigraph. As datasets grow larger and more complex (especially with the popularity of storing large vector embeddings to enable AI use cases), the database can grow to a point where it’s too large to run comfortably on a single machine; that’s where the property shading feature helps: scaling without splitting the graph. We decided to focus on the real scaling pain points our users face! With property sharding, you will still get: 👉ACID compliance: Fully transactional and consistent 👉Simplicity: Transparent to the user, using standard Cypher queries 👉Analytics support: Works seamlessly with query, exploration, and graph data science tools 👉Full API transparency: No application-level rewrites required Read all the technical details here https://bit.ly/45OIBCK #Infinigraph #Neo4j #GraphDatabase

🎦 Now at #GraphSummit2025 NYC: Emil Eifrem introducing Neo4j's #Infinigraph ♾️ Learn more https://bit.ly/3UYDjhO

Nasdaq looking great for #GraphSummit2025 in NYC 🍎 Here we go!

Run 100TB+ operational and analytical graph workloads in a single system with Infinigraph.✨ Today, we are happy to introduce you to Infinigraph: a scalable, distributed graph architecture that allows companies to run 100TB+ operational and analytical graph workloads in a single system without fragmenting the graph, duplicating infrastructure, or compromising performance. A new architecture that supports more connected data, unlocking use cases previously out of reach for most organizations. 👌Available for Neo4j Graph Database. This blog covers every detail of our release. Take a look! You will also learn about new AuraDB capabilities that deliver more visibility, control, and ease of use. https://bit.ly/3UYDjhO #Neo4j #Infinigraph #GraphDatabase

Find out this 👇 and much more in "Essential GraphRAG" book you can download for free (for a limited time!) https://bit.ly/4fyGtCp Tomaz Bratanic Oskar Hane #GraphRAG #KnowledgeGraphs

Join us to hear about the new features for Neo4j AuraDB that are launching to help you better manage complex data and reveal insights.

⚖️ In the legal world, accuracy isn’t optional — it’s critical: #KnowledgeGraphs are key By modeling relationships between entities, clauses, and concepts, they provide the structure needed for more precise and reliable retrieval. 👉 Tomaz Bratanic and Tuana Çelik from LlamaIndex show how legal documents can be transformed into a knowledge graph pipeline that delivers context, clarity, and accuracy at scale. https://bit.ly/3HX8SFJ

💡 Behind every Neo4j tool is developer input. This September, we’re putting the spotlight on Neo4j Online Community Focus. We’re opening up conversations on: • Modeling challenges and workflows • Tools like Arrows, Data Importer, and Workbench • What’s next in the graph dev experience 👓 ➡️ Swipe to see the agenda, and click here to learn more, join the AMAs, share your ideas, and see how community feedback becomes features. https://lnkd.in/d4zSjDjn #Neo4j #UX Greg King Jeff Gagnon Sebastian Wictorin Liza Shkirando Ari Waller Yolande Poirier Alexander Erdl

🚀 Big news from Neo4j! We’re excited to welcome Ajay Singh as our new Global VP of Field Engineering! Ajay brings deep experience helping enterprises unlock the full potential of data and AI. He has more than two decades of data management experience across transactional, big data, and analytical systems, and is uniquely positioned to help customers realize the value of their connected data ecosystem. Prior to Neo4j, Ajay was instrumental in scaling field engineering at Databricks during a time of massive growth - from a few hundred employees to over 9,000 and $3B+ in revenue. At Neo4j, he’ll lead our global team across solution engineering, architecture, professional services, and customer success, driving technical excellence from first engagement through long-term value. Why it matters: Our customers are solving mission-critical problems, from real-time fraud to building agentic AI with knowledge graphs. Ajay’s leadership will help accelerate their innovation at scale. In his words: “With the right vision, product, culture, and customer obsession, extraordinary outcomes are possible. I’m excited to help Neo4j unlock the next phase of growth, powered by graph innovation, graph analytics, and a passionate community.” We’re all excited about the journey ahead—and even more excited about what this means for our customers. Welcome, Ajay! #GraphDatabase #Neo4j #KnowledgeGraphs

Neo4j Live: Building Neo4j-Powered Applications with LLMs Join us for a live conversation with Ravindranatha Anthapu and Siddhant Agarwal, co-authors of Building Neo4j-Powered Applications with LLMs. Dive into the journey of crafting intelligent, graph-based AI systems grounded in Retrieval-Augmented Generation (RAG) and Neo4j knowledge graphs. Explore how their book equips you with hands-on experience in combining vector search, Cypher modeling, Haystack integrations, and deployment on Google Cloud. Guests: Ravindranatha Anthapu & Siddhant Agarwal #neo4j #graphdatabase #genai #graphrag #llm