D
deeplake
activeloopai/deeplake
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
★9.2kstars
C++
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Data & Infrastructure project, built with C++, focusing on agent and agentic-rag
Who made it?Maintained by activeloopai team, 9.2K⭐ on GitHub, #222 out of 3133 in Data & Infrastructure
Why does it exist?In the Data & Infrastructure space, agent workflows faced efficiency bottlenecks. deeplake was built by activeloopai to address these agentic-rag challenges.
What can it do?Key use cases: clawbot, computer-vision, datalake
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/activeloopai/deeplake | 官网 https://deeplake.ai
🔗 github.com/activeloopai/deeplake | 官网 https://deeplake.ai
Topics
agentagentic-ragaiclawbotcomputer-visiondatalakedeep-learningfilesystemlarge-language-modelsllmmemorymlopsmultimodalopenclawpostgrespytorchragskillvector-database