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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.
“New models deployed in a matter of days instead of weeks.”
“Davit & team are super responsive & hands-on with onboarding. Highly recommend the tool for managing large & complex datasets.”
“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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