Deep Lake is an open-source data lake optimized for AI that combines the features needed for vector databases. It is built to store various data types including PDFs, vectors, audio, and videos, facilitating seamless integration with Large Language Models (LLMs). The platform enables users to not only connect their data to LLMs but also train and fine-tune these models using an advanced dataloader suitable for different AI frameworks. By simplifying the data infrastructure process, Deep Lake accelerates the delivery of AI products. It has garnered over 7,500 stars on GitHub and is utilized by leading companies across multiple industries, making it a robust choice for organizations looking to leverage AI capabilities quickly and efficiently.
• community support
• data visualization
• integration with large language models
• managed data storage
• advanced dataloader for ai frameworks
• supports multiple data types (pdfs, vectors, audio, videos)
• open-source data lake
Yes, Activeloop is open-source.
Yes, there are trial periods available for the premium plans.
Yes, users can switch from open-source to a paid plan.
Yes, custom pricing is available for larger organizations or unique use-cases.
Yes, on-premise deployment is available.
Yes, users can upload datasets privately on the free plan.
Please contact support for specific data type issues.
Yes, plans are available for research teams in academia.
Yes, we are compliant with HIPAA and GDPR.
Yes, the storage options extend beyond 10TB or 1PB.
• All features in Deep Lake OSS
• Integration with LangChain & other tools
• 10GB of Managed Data
• Data visualization and analytics
• Support in community Slack
• Everything in COMMUNITY
• Up to 22% boost in retrieval accuracy with Deep Memory; 5 trainings per month
• 100GB of Managed Data
• Backup for data in Activeloop Storage (on request)
• Everything in STARTER
• 20 Deep Memory trainings per month
• 1TB of Managed Data
• Dedicated support
• Everything in STARTUP
• RAG Data Engine - Multi-modal RAG solution optimized for your use-case
• Up to 1PB of Managed Data
• RBAC
• VPC deployment
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