deeplake
Deeplake is a data runtime designed for AI agents, offering a serverless multimodal data lake.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 9.2k
- Source
- skill-github
- Repository
- github.com/activeloopai/deeplake
Overview
Deeplake is a data runtime specifically designed for AI agents, providing serverless PostgreSQL and multimodal data lakes, supporting scalable data retrieval and training. It simplifies the deployment of enterprise-grade LLM products, supports various data types (embeddings, audio, text, video, images, etc.), and integrates with tools like LangChain and LlamaIndex. Suitable for scenarios such as storing and searching data, managing datasets for deep learning models, and more.
Capabilities
- ▪Serverless PostgreSQL support
- ▪Multimodal data lake
- ▪Data retrieval and training
- ▪Support for multiple data types
- ▪Integration with LangChain and LlamaIndex
Use cases
Setup
pip install deeplake
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
Which cloud storage does Deeplake support?
Supports S3, GCP, Azure, and Activeloop cloud.
Is Deeplake open source?
Yes, Deeplake is an open-source project.
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