Vector embeddings are central to generative AI applications including NLP, content generation, and intelligent search. With Onehouse, vector embeddings can now be generated quickly, easily, and cost-effectively on the data lakehouse.

Financing Advances Development of the Universal Data Lakehouse and Supports the Launch of Two New Products: A Free Lakehouse Observability Tool, and a Managed Table Optimizer for Apache Hudi, Apache Iceberg and Delta Lake