Copenhagen Graph Databases Meetup

Embed, search, generate - all from Cypher. The Neo4j GenAI plugin connects your graph directly to AI providers like OpenAI, Vertex AI, and Amazon Bedrock. We go hands-on with the new functions, explore what changed with Neo4j's native Vector data type (no more lists of floats), and walk through a real GraphRAG example - end to end, in Cypher. Whether you're building your first semantic search feature or upgrading existing embedding workflows, this session gives you the practical foundation to do it right. What we'll cover: - How the GenAI plugin connects Neo4j to external AI providers - Creating and storing vector embeddings - Vector indexes, similarity search, and the new SEARCH clause in Cypher 25 - Native Vector type vs. the old list-of-floats approach

Guest: Gem Lamont ( https://www.linkedin.com/in/gemmalamont/ )
#neo4j #graphdatabase #agenticai #knowledgelayer #knowledgegraph #graphrag #cypher #genai

3rd edition of GraphTalk Pharma & Life Sciences returns on 2 July 2026 in Munich, again as a hybrid event.

Join us to explore how leading organizations are moving beyond AI experimentation and into production-ready, reliable AI systems powered by context graphs.

AI fatigue isn’t about the model, it’s about the foundation. In pharma and life sciences, fragmented data limits the impact of GenAI. Without connected, explainable context, AI remains stuck in pilots.
Knowledge graphs change that. They unify data across scientific literature, omics, clinical trials, and real-world evidence, creating a structured reasoning layer that enables grounded, traceable, and up-to-date insights.

This year’s agenda follows the pharma product lifecycle, showcasing how GenAI and knowledge graphs drive impact across:

• R&D – accelerating discovery and target identification
• Clinical – enabling explainable, data-driven decisions
• Supply Chain – improving resilience and operational intelligence

Throughout the day, you’ll hear real-world use cases from leading organizations using Neo4j to bring context to AI and move from pilots to production.
You’ll leave with a clear understanding of where GenAI and context graphs can take your organization next and how to get there.

Choose your preferred experience: attend physically on the day, or stream online, whatever suits your schedule and interest.