AI Gateway

Deep Lake

Vector Database for All Data

Deep Lake as a Vector Store for LLM Applications

  • Store and search embeddings and their metadata including text, json, images, audio, video, and more. Save the data locally, in your cloud, or on Deep Lake storage.
  • Build LLM Apps using or integrations with LangChain and LlamaIndex
  • Run computations locally or on our Managed Tensor Database

Deep Lake as a Data Lake For Deep Learning

  • Store images, audios, videos, text and their metadata (i.e. annotations) in a data format optimized for Deep Learning. Save the data locally, in your cloud, or on Activeloop storage.
  • Rapidly train PyTorch and TensorFlow models while streaming data with no boilerplate code.
  • Run version control, dataset queries, and distributed workloads using a simple Python API.
Deep Lake Architecture for Inference and Model Development Applications.
Deep Lake Docs - Deep Lake
We hope you enjoy Docs for Deep Lake.
About the author

Great! You’ve successfully signed up.

Welcome back! You've successfully signed in.

You've successfully subscribed to AI Gateway.

Success! Check your email for magic link to sign-in.

Success! Your billing info has been updated.

Your billing was not updated.