Neo4j

Exciting News! Neo4j has reached an incredible milestone, surpassing $200M in revenue! 🎉 This achievement reflects Neo4j’s leadership in the growing graph technology market, powered by its commitment to improving generative AI accuracy, transparency, and explainability, as well as the strength of its cloud offering! Read all about it here: https://bit.ly/3OAU4MR #Neo4j #GraphDatabase #GenAI

Vector search + knowledge graph + data science = breakthrough GenAI apps. Learn how Neo4j can help you get more accurate and reliable responses from your GenAI app: https://bit.ly/4gegqiV #GenAI #knowledgegraphs

Neo4j helps you build intelligent apps that: ☑️ Detect fraud ☑️ Optimize the supply chain ☑️ Personalize customer experiences (CX) A fully managed cloud graph database like Neo4j #AuraDB can help you with this. Read this overview and learn how you can: 🤩Store data in nodes and relationships with the context intact 🤩Easily evolve your graphs and add new datasets 🤩Build critical apps with ease on a scalable, secure graph database Download for free: https://bit.ly/3BkbpWN #FraudDetection #graphdatabase

Together with Jesús Barrasa we are getting ready for our final #goingmeta episode in 2024 - Tune in next week when we discuss #semantics #ontology and #knowledgegraph

The Care-for-Rare Foundation and the Dr. von Hauner Children's Hospital in Munich use Neo4j graph and machine learning models to make connections between 2,500+ pediatric patients and 8,000+ rare diseases. Researchers are expanding global collaboration with other hospitals, speeding up time-to-diagnosis, and fostering greater hope for families facing rare pediatric diseases❤️. Learn more here: https://bit.ly/416rmKW #knowledgegraph #DataScience #GraphTechnology #HealthTech

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG Explore the intersection of cognitive sciences and dynamic graph-based Retrieval Augmented Generation (RAG)! This livestream delves into how cognitive theories can inspire new approaches in machine learning, optimizing data storage, retrieval, and personalization. Learn about the latest advancements in combining graphs and vector stores to create semantic layers, enhancing the in-context learning pipeline, and shaping the future of AI tooling. Guest: Vasilije Markovic https://www.cognee.ai/ #neo4j #graphdatabase #graphrag #rag #genai #llm #science #cognitivescience

✨ Great minds catching up on what's going on and what will come in the realm of #GraphRAG ✨ Check out the chronicles from our last GraphRAG gathering organized last week with amazing participants from organizations like deepset, WhyHow.AI, Contextual AI, Diffbot, Meta Facebook, Microsoft, Google, and The AI Alliance. We discussed what happened during 2024, our experience on how to start with GraphRAG, analyzed the developer experience, exchanged insights about ontologies, and more. Take a look at Andreas Kollegger's notes from this gathering and add your comments.! https://bit.ly/414okXC

Wow! A few weeks ago, we wrapped our 2024 GraphSummit series in Melbourne! More than 100 attendees and graph lovers gathered to hear how enterprises like ANZ, Telstra, and InterVenn Biosciences are applying graph technologies and AI models to drive breakthrough discoveries and increase productivity. Thank you to the speakers, and thank you to all attendees who have made this a success! See you soon! #GraphSummit2024

Get started with Neo4j's GraphRAG Python package!! It provides end-to-end workflows that take you from unstructured data to knowledge graph creation, knowledge graph retrieval, and full GraphRAG pipelines in one place 😮 Join this 30-minute webinar with Zachary Blumenfeld and Estelle Scifo and learn how to: 🌟 Quickly build knowledge graphs from unstructured text documents 🌟 Easily implement knowledge graph retrievers combining graph traversals and vector and full-text search 🌟 Develop end-to-end GraphRAG workflows to boost RAG quality and effectiveness in knowledge assistants and other GenAI applications. Americas: https://bit.ly/4925um5 Europe: https://bit.ly/3V82Ll8 Asia Pacific: https://bit.ly/3ZiPbhk #GenAI #Python #llms #Neo4j

Happy to share that all #NODES2024 presentations are available on our YouTube channel! You'll be able to watch (or re-watch) more than 140 presentations about graph databases, GraphRAG, visualization, use cases, and more. 🤩 Don't miss out on Ben Lorica 罗瑞卡's keynote, Emil Eifrem's Q&A, a great panel discussion about #GenAI trends, and Sudhir Hasbe's updates on product and innovation. https://bit.ly/3UEckrJ