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

New course at #GraphAcademy for Java developers ?? "Building Neo4j Applications with Spring Data" In this hands-on course, you will develop an application that can read, write, and run queries against a Neo4j graph database of movies and actors Use the Spring Data Neo4j (SDN) library to take advantage of Neo4j and graph databases! Enroll today: https://bit.ly/3V2hgqW #Java #Neo4j

Makbule Gulcin Ozsoy, Leila Messallem, and Jon Besga introduce one of the fine-tuned Neo4j Text2Cypher(2024) models, which serves as a demonstration of how they can enhance performance on Text2Cypher tasks. Check out their findings and capabilities for the Neo4j Text2Cypher (2024) Model here: https://bit.ly/3OjjG0l #Text2Cypher

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

Get smarter, more reliable, and contextually rich GenAI responses with GraphRAG! Knowledge-graph-powered RAG grounds GenAI results in true relevance, deeper context, and accuracy rather than just generic similarity measures. Join this 30 webinar and learn how to: ??Quickly process unstructured & structured data for RAG. ??Expose key logic and domain context to your AI by building a knowledge graph to organize, connect, and resolve entities in data. ??Apply knowledge graph retrieval patterns to deliver more accurate and relevant results in GenAI apps. With Zachary Blumenfeld! Asia Pacific: https://bit.ly/40QFacy Europe: https://bit.ly/4fBO4PJ Americas: https://bit.ly/4fHvaH5 #graphRAG #LLMS #RAG

Going Meta S02E03 – a Series on Semantics, Knowledge Graphs, and AI Topic: Jesús Barrasa Repository: https://lnkd.in/dwxTG8eb Knowledge Graph Book: https://lnkd.in/dDbPY6Aa Previous Episodes: https://lnkd.in/ep33Hk76 #graphdatabase #neo4j #graphrag #knowledgegraphs #ontology #data

Use retrieval-augmented generation (RAG) to improve accuracy, relevance, and provenance in support agents! Join Michael, Tomaz, and Oskar as they use an example support agent app that's part of the GenAI Stack: a pre-built development environment for GenAI applications that uses Docker, Inc, LangChain, Ollama, and #Neo4j. If you've been struggling with inaccuracy and knowledge cutoff, this blog will help you! Enjoy! https://bit.ly/4exkyJu Michael Hunger Tomaz Bratanic Oskar Hane

We are back at #AWSreInvent!!! See you in Vegas on December 2-6 to explore #GraphRAG and our latest product updates! ?? Also save your calendar for: ?? "The GraphRAG fast track with AWS Bedrock and Neo4j AuraDB" presentation with Dan McGrath, VP of Product Management on December 3, 5:30PM ?? "Accelerating Enterprise GenAI: Navigating the Competitive Landscape & Regulatory Agility in Financial Services" with Michael Down-- December 5, Partners LIVE! at Booth 2116. See you!! https://bit.ly/3O3Mk5G Amazon Web Services (AWS)

Neo4j Live: HybridAGI – Graph-Powered, Self-Programmable AI Discover HybridAGI, a groundbreaking Cypher-based neuro-symbolic AGI designed to make AI adaptable, reliable, and knowledge-driven. With the power of graph technology, HybridAGI goes beyond traditional Agent systems by using a graph interpreter that dynamically reads, writes, and executes graph-based data, enabling self-programming and on-the-fly adaptation. Tune in to explore how HybridAGI combines graph and LLM capabilities, allowing users to create secure, memory-centric AI applications with deterministic behavior and extensive customization through Cypher. Guest: La?titia Del Banio & Yoan Sallami, PhD HybridAGI: https://lnkd.in/gBJat_TP

?? Curious about the future of Agentic AI? Tune in later today for a Cypher-based graph system that enables AI to dynamically read, adapt, and act on graph-based data #agenticai #genai #llm