The Perfect Couple: Uniting Large Language Models and Knowledge Graphs for Enhanced Knowledge Representation

Large Language models are amazing but are also black-box models that often fail to capture and accurately represent factual knowledge. Knowledge graphs, by contrast, are structural knowledge models that explicitly represent knowledge and, indeed, allow us to detect implicit relationships.… Read more →

Explore:  


GraphSummit Paris

Connectez-vous avec les graphes GraphSummit s’adresse aux entreprises, aux décideurs, développeurs et data scientists peu importe leur niveau d’expérience avec les graphes. L’occasion de découvrir les témoignages de nos clients et comment ils utilisent la technologie des graphes pour donner… Read more →

Explore:  


Neo4j & Google Cloud Generative AI Hands-on Lab

Enterprise organizations are increasingly turning to artificial intelligence (AI) to solve problems and improve their core processes such as fraud detection, customer analytics, and real-time recommendations. Many are also exploring the convergence of generative AI and cloud technologies to drive… Read more →

Explore:  


LLM + KG FTW

One evening, two speakers, a world of learning. Join us for a deep technical dive into Generative AI, Large Language Models and Knowledge Graphs. First speaker: to be announced GPT = Generative Pre-trained Transformer LLM = Large Language Model KG… Read more →

Explore:  


GraphTalk Dubai

Join this in-person Neo4j event in Dubai. You can expect a productive morning at this unique opportunity to delve into the world of graph technology, connect with leading experts, and supercharge your understanding of graphs.

Explore:  


DataNext Architecture Europe 2023

Join us at the DataNext Architecture Europe event on Oct 5. Watch the presentation about ‘The Art Of The Possible With Graph Technology’ by our Engineering Lead – Dr. Jesus Barrasa, at 11:20 CET and connect with our Neo4j representatives… Read more →

Explore:  


A Crash Course on Graph DBMSs & Kùzu

A Crash Course on Graph DBMSs & Kùzu Graphs, i.e., networks of nodes and edges, are one of the most natural logical data models (the other being tables/relations) to model application data. Graphs have been the data model of many… Read more →

Explore:  


JS Monthly, September Meetup with Neo4j

Neo4j Session: “Pattern Matching in Code and Data” Functional programming has brought many powerful ideas into mainstream coding with widely adopted concepts like map and reduce. There’s another secret superpower to improve code readability and maintainability – declarative code branching.… Read more →

Explore:  


Government GraphTalk: The value of connected data

Join us at Neo4j Government GraphTalk, an after-work networking opportunity to meet with your peers. Hear from graph experts to discuss how graph technology has been adopted by a number of government organisations to solve a wide-ranging set of use… Read more →

Explore: