Graph Database - DACH (Germany, Austria, Switzerland )

Register: https://go.neo4j.com/LECON250702GraphTalkPharmaMunich_Registration.html

Morning Sessions | Industry Success Stories
Hear success stories from top leading pharma and life sciences organizations, including Merck Group, Bayer, Qiagen, Novo Nordisk, BASF. Learn how they are using Neo4j to power real-world graph use cases.

Afternoon Sessions | Technical Deep Dive
Perfect for those seeking practical, technical insights into GenAI, Knowledge Graphs and GraphRAG - featuring Syngenta, Care-for-Rare Foundation and Neo4j. We will explore how to integrate scientific RDF data into Neo4j, build knowledge graphs from diverse life science sources, and power GenAI applications with graph analytics.

What you'll learn:

• Integrate complex, diverse biomedical data to uncover hidden patterns between genes, proteins, diseases and drug candidates
• Accelerate R&D by identifying novel drug targets and predicting efficacy using graph algorithms and AI
• Automate scientific workflows and enable natural language queries through GenAI and Large Language Models
• Build AI-ready data foundations that support production-grade, explainable GenAI applications like GraphRAG

Register: https://www.meetup.com/bliss-speaker-series/events/308415769/

Generative AI models have the potential to increase productivity and provide access to data, but they need good context to be truly useful.
​In this hands-on workshop, you will learn how Knowledge Graphs and Retrieval Augmented Generation (RAG) can help your GenAI projects avoid hallucination and provide access to reliable data.
​In this hands-on workshop, you will:
​- Learn about Large Language Models (LLMs), hallucination and integrating knowledge graphs
​- Explore Retrieval Augmented Generation (RAG) and GraphRAG and their role in
​- Use vector indexes and embeddings to find similar data
​- Query graphs using natural language
​- Use Python and OpenAI to create GraphRAG retrievers and GenAI applications
​This workshop will put you on the path to controlling Generative AI applications and integrating them into your projects.