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

Join us later today when we hear how Dynamic GraphRAG leads to smarter, more personalized machine learning #graphrag #ml #genai

? 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

Have you explored Neo4j's LLM Knowledge Graph Builder? ?? Morgan Senechal wrote this detailed blog to help you build your knowledge graph and ask questions about your data in the blink of an eye ;) Take a look and get started! https://bit.ly/4eSvHES

Speed and flexibility when building an app? We've got you covered! ?? Join our next #Neo4jConnections! -Find out about the seven graphs that exist in every enterprise and the business problems they solve -Get walkthroughs of how to build apps that detect more fraud and provide accurate, explainable GenAI results -Learn how to use a graph database to improve data governance, enhance security, streamline processes, and build breakthrough apps Graph databases are the way to preserve the connections and relationships to uncover new patterns in your connected data and find new relationships, context, and insights - get ready to take your app to the next level! Americas and Europe: https://bit.ly/3CJU1LX Asia Pacific: https://bit.ly/3AZT3dU

Going Meta S02E04 – on Semantics, Knowledge Graphs and All Things AI Season 02 Episode 04 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI Topic: Jesús Barrasa Repository: https://lnkd.in/dwxTG8eb Knowledge Graph Book: https://bit.ly/3LaqE6b Previous Episodes: https://lnkd.in/ep33Hk76 #graphdatabase #neo4j #graphrag #knowledgegraphs #ontology #data

ICYM: Accelerate GenAI with Knowledge Graphs with Neo4j's GraphRAG Python Package! We are simplifying the end-to-end process for knowledge creation and retrieval so you can get started building GraphRAG apps quickly. ?? Transform documents into GenAI-ready knowledge graphs. ??Easily implement knowledge graph retrievers that combine graph traversals with vector and full-text search for greater completeness and relevance. ??Build end-to-end GraphRAG workflows with just a few lines of code. Zachary Blumenfeld will walk you through this package in this blog https://bit.ly/3UbuctQ ?? You can also register for the webinar coming up on December 12 to learn all: Americas: https://bit.ly/4925um5 Europe: https://bit.ly/3V82Ll8 Asia Pacific: https://bit.ly/3ZiPbhk #Neo4j #GraphRAG #Python