HERO-Play Button-ICON-120px-Java

LIVE WEBINAR

  • Day: 30-01-2025
  • Time: 10:00 EST | 16:00 CEST
  • Location: Zoom

Beyond RAG: The future of Gen AI and knowledge graphs

HOW RETRIEVAL AUGMENTED GENERATION IS EVOLVING IN THE LIFE SCIENCES INDUSTRY AND WHAT’S NEXT

Over the last few years, generative AI has gained significant traction, driving innovation and experimentation as organizations strive to apply this cutting-edge technology to their business challenges. 

In this live webinar, we’ll explore the progress made in integrating LLMs with knowledge platforms, particularly the pivotal role of retrieval-augmented generation (RAG) and its various applications. We'll showcase how these technologies are evolving to meet industry needs, overcome challenges, and deliver measurable impact. Our expert insights will detail how life sciences companies can prepare themselves for what’s next for RAG, knowledge graphs, and GenAI.

Beyond RAG The future of Gen AI and knowledge graphs

Why should you join?

Whether you're navigating early-stage experimentation or scaling production systems, this webinar will offer valuable insights, practical applications, and emerging trends to help you harness the power of generative AI in your organization.

Please fill out the form to register.

To register, fill out the form

Speaker

Martin Robbins Product Marketing Manager
ONTOFORCE

RAG has become the missing link between large language models and real-world applications in life sciences. I look forward to discussing how RAG is evolving in the industry and what the future holds beyond RAG for GenAI and knowledge graph applications.

3 Martin Robbins Head of Product in Product ONTOFORCE

Who should watch

Senior profiles in research and IT, along with others that are interested in advancing data, AI, and new technologies in life sciences organizations. 


  • Data scientists
  • Data managers
  • VP data and AI
  • Scientific researchers
  • Heads of research & development 
  • Director data strategy & governance
  • Bioinformaticians
  • Director data science
  • Industry leaders and decision-makers