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Managed, on-demand storage systems for high-dimensional embeddings that scale automatically.
Distinct from Distributed Vector Stores: Specifically targets the serverless operational model rather than general distributed architecture.
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DeepLake is AI data infrastructure consisting of a multimodal data lake, a hybrid search engine, and a serverless vector database. It provides a PostgreSQL-based AI data runtime that combines multimodal storage with streaming pipelines to load and shuffle datasets from cloud storage directly into deep learning training pipelines. The system utilizes lazy indexing to store and slice images, audio, and video without loading entire files into memory. It enables retrieval-augmented generation by persisting high-dimensional embeddings in a serverless vector store and implementing hybrid search tha
Provides a serverless vector database for storing high-dimensional embeddings to enable scalable retrieval for language models.