Deep Lake Docs
We hope you enjoy Docs for Deep Lake.
We hope you enjoy Docs for Deep Lake.
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 LLM Apps using or integrations with LangChain and LlamaIndex
Run computations locally or on our Managed Tensor Database
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.
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!