Data infrastructure company Onehouse introduced a vector embedding generator designed for managing vectors at scale on data lakehouses.
In specific, enterprises can streamline vector embeddings pipelines to store embeddings directly on a lakehouse, offering cost advantages when building LLMs and semantic search applications.
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