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WHITEPAPER

  • Date: 30-01-2025
  • Pages: 14

The evolution of RAG and what’s next for GenAI in the life sciences industry

EMERGING TRENDS FOR RETRIEVAL AUGMENTED GENERATION, GENERATIVE AI, KNOWLEDGE GRAPHS, AND DATA

Explore the emerging trends in generative AI within the life sciences industry, the goals companies are striving to achieve with this evolving technology, and the role of knowledge graphs in enabling these advancements.

In the last two years, life science companies have seen an explosion of innovation, prototyping, and experimentation as they explore how to integrate generative AI into their operations.

As these experiments evolve into production systems, it is crucial to assess what has been learned so far, where the industry is headed, and how certain platforms are positioning themselves to support the future of generative AI in the life sciences. 

Download now to learn more about how GenAI is evolving in this whitepaper. 

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What you will learn

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An overview of approaches

Discover the trends and patterns of the growing number of solutions out there.

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Future user expectations

In 2025 and beyond, there will be stronger user expectations of GenAI.

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The direction for GenAI

Applications focused on practical every-day tasks and extracting knowledge from sources will prevail.

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The power of DISQOVER

Learn how this knowledge discovery platform is powering the future use of GenAI.

ONTOFORCE whitepaper The evolution of RAG and what’s next for GenAI in the life sciences industry

An added value for ...

  • Heads of IT
  • Data Directors
  • IT Teams
  • CIOs

  • Data Scientists
  • Data Analysts
  • Data Engineers
  • Database Administrators
  • Scientific Researchers
  • Developers
  • R&D Managers
  • Knowledge Managers
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