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Activeloop frees deep learning teams from building complex data infrastructure so they can develop AI products faster. It simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage for all workloads, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more.
“Downloading data every time you run an experiment is bound to break you and the training process. Deep Lake's on-the-fly streaming was an excellent choice for us: it was really …
"I chose Deep Lake among other vector databases due to its open-source nature, easy setup process, and developer-friendly features. It seamlessly integrates with AWS S3, which I found cost-effective and …
“They started out with a vector store integration, so it's flown under the radar, but @activeloopai's Deep Lake is an intriguing fully-fledged serverless data lake that supports attribute based filtering, …
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