🏠Deep Lake Docs
We hope you enjoy Docs for Deep Lake.
Last updated
We hope you enjoy Docs for Deep Lake.
Last updated
Store and organize unstructured data (images, audios, nifti, videos, text, metadata, and more) in a versioned data format optimized for Deep Learning performance.
Rapidly query and visualize your data in order to create optimal training sets.
Stream training data from your cloud to multiple GPUs, without any copying or bottlenecks.
Store and search embeddings and their metadata including text, jsons, images, audio, video, and more. Save the data locally, in your cloud, or on Deep Lake storage.
Build Retrieval Augmented Generation (RAG) Apps using our integrations with LangChain and LlamaIndex
Run computations locally or on our Managed Tensor Database
Please check out Deep Lake's GitHub repository and give us a ⭐ if you like the project.
Join our Slack Community if you need help or have suggestions for improving documentation!