Unlock Better Scientific Search with RAG in Life Sciences

Scientific data is complex, fast evolving, and difficult to search. Many Life Sciences teams turn to vector based search to quickly enable semantic search and test RAG strategies for LLMs. But in high-stakes environments where accuracy and explainability matter, vector search alone is not enough.

Vector methods often struggle to distinguish scientific concepts that appear close in vector space. This is where expert curated ontologies dramatically strengthen search quality, context, and precision.

In this webinar, you will learn:

  • How vector based search helps kickstart RAG and LLM implementations
  • Where vector search falls short in scientific and regulatory contexts
  • Why combining Neural Search with ontology based semantic search delivers superior accuracy
  • How a hybrid approach improves grounding, transparency, and scientific insight

See how Life Sciences organizations achieve more accurate RAG pipelines by combining AI with trusted scientific structure.