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.