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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.
“Davit & team are super responsive & hands-on with onboarding. Highly recommend the tool for managing large & complex datasets.”
"Activeloop's Deep Lake helped us focus on building the product instead of worrying about scalable data infrastructure. It enabled us to efficiently host multiple collections in memory, overcoming the synchronization …
“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 …
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