INFRASTRUCTURE Solution
Managing Vector Embeddings for GenAI on the Lakehouse
Cost-efficiently build and store vectors in the data lakehouse at scale to serve Generative AI, Large Language Models, and more.
Advanced Tools to Manage Your Vector Embeddings
Model on the freshest data
- Ingest up-to-the-minute data to Onehouse to build and maintain the most timely models.
- Store all your data centrally to easily train models on all of your organization's assets.
- Transform your data on the fly to build accurate predictive features for training and inference.
Automate vector creation
- Simply ingest from streams, databases, and cloud storage to Onehouse.
- Deliver support for a variety of models from OpenAI and others, with an extensible framework to enable support for additional models.
- Automatically store all your vectors in Onehouse for easy retrieval.
Scale vector modeling at minimal cost
- Scale your embedded vectors in the data lakehouse at a fraction of the cost of a vector database.
- Maintain all vectors in Onehouse as a single source of truth.
- Search your vectors directly on the lakehouse for batch retrieval.
- Move your vectors to a vector database for real-time serving.
Ready to unlock the inevitable warehouse-to-Onehouse switch?
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