Multi-modal tensor DB for vectors/images/texts/videos with hybrid embedding + metadata/tensor search. Supports multimodal RAG datasets with versioning. Data lake scale vs pure vector stores like Qdrant.
Deep Lake is Activeloop's open-source database designed for complex, unstructured data. It combines the benefits of a traditional data lake with modern vector database capabilities and tensor storage.
Serverless managed service that eliminates self-hosting complexity and substantially lowers costs. Specify runtime = {"tensor_db": True} when creating Vector Store.
Data lake for multimodal vs vector index.
Works with LangChain, LlamaIndex, and major ML frameworks. Compatible with any S3-compatible storage including MinIO.
Open-source for self-hosting. Managed Tensor Database offers serverless pricing with usage-based costs.
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