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What is Deep Lake by Activeloop?
Deep Lake by Activeloop serves as a specialized database designed to optimize AI development. It is designed to handle various data types, including images, videos, text, and more, making it suitable for a wide range of AI applications.
The platform includes features such as version control, data visualization, and streaming data loaders. It enhances efficiency, performance, and scalability in AI workflows.
Features
- Version control: Manage and track changes in datasets.
- Streaming dataloaders: Efficiently load data for training and inference.
- Data visualization: Visualize complex datasets for better understanding.
- Query engine: Quickly search and retrieve data.
- Multi-Modal Support: Store and manage various data formats, including images, videos, text, audio and vectors.
Use Cases
- Developing AI models with diverse datasets.
- Implementing Retrieval-Augmented Generation (RAG) systems.
- Building and deploying code assistants.
- Creating AI-powered search functionalities on large datasets.
- Data preparation for AI training
- Managing and versioning datasets for machine learning projects.
FAQs
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Is Activeloop open-source?
The content provided does not indicate this. -
Is there a trial period for premium plans with Activeloop?
Yes, there is a free trial for the Scale plan. -
Can I switch from open-source to a paid plan later?
The content provided does not indicate this. -
Do you offer custom pricing for larger organizations or unique use-cases?
Yes, custom pricing is available for larger organizations, addressed under the Enterprise plan. -
Do you offer on-premise deployment of your stack?
Yes, on-premise deployment is available, and handled in the enterprise plan as VPC deployment.
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