ActiveloopDatabase for AI

Activeloop

Deep Lake is a database purpose-built for unstructured data, enabling teams to train AI models faster and significantly reduce compute costs. Deep Lake is ideal for tasks like information retrieval, data indexing, and training large language models.

Product Highlights

• Storage: Deep Lake provides multi-modal storage for unstructured data such as images, videos, and audio.
• Querying: Ask Deep Lake using SQL or natural language to access unstructured data.
• Integration: Deep Lake integrates with leading AI platforms like PyTorch, TensorFlow, and LangChain.

Use Cases

• Information Retrieval: Retrieve information from large data repositories such as images, videos, and audio.
• Data Indexing: Index unstructured data like images, videos, and audio.
• Training Large Language Models: Train large language models using unstructured data.

Target Audience

Deep Lake is suitable for AI companies, data scientists, and software engineers working on projects that involve unstructured data.