Artificial intelligence has transformative potential for driving value and insights from data. As we progress toward a world where nearly every application will be AI-driven

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By leveraging advanced algorithms, Lensai can swiftly identify and craft novel drug compounds, significantly reducing R&D timelines from development to commercialisation. This model uniquely combines the strengths of Large Language Models (LLMs) using an advanced stacking technique with BioStrand’s patented HYFT Technology.
HYFTs are a type of embedding that serve as unique ‘fingerprints’ in biological sequences, enabling BioStrand to assign embeddings from different LLMs with high precision. This foundation model represents a vast and continuously expanding knowledge graph, mapping an impressive 25 billion relationships across 660 million data objects.
This comprehensive graph interconnects sequences, structures and functions from the entire biosphere, together with bibliographic information. It also incorporates cutting-edge technologies like RAG, SQL vector search and generative capabilities of LLMs together with the semantic expressiveness of knowledge graphs.
We’re just scratching the surface when it comes to implementing this technology. We’ll be sharing more customer stories as vector search changes how they interact with their data and what new AI applications are developed with vector search. In the meantime, I encourage you to visit our vector search landing page to learn more.
Our commitment to maintaining the highest standards of privacy, security, and responsibility will guide a thoughtful and just approach to AI that creates trust while accelerating innovation, ensuring customer success, and demonstrating a commitment to excellence. We believe transparency, responsibility and explainability are key to establishing trust in and driving innovation from AI systems.
By Scott Gnau, Head of Global Data Platforms, InterSystems
