activeloopai/deeplake
AI vector database with multimodal datalake for LLM retrieval and agent memory infrastructure

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Deep Lake is a database optimized for AI workloads, providing serverless postgres-style storage combined with a multimodal datalake. It supports vector search, embedding storage, and retrieval-augmented generation workflows for building LLM applications. The platform integrates with deep learning frameworks and is designed to serve as memory infrastructure for AI agents.