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deeplake
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deeplake

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

by activeloopai · GitHub
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agentagentic-ragaiApache-2.0C++
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In plain words

Store and search various types of data while training AI models using a specialized database.

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📈 Star history
9.23k9.20k
2026-07-042026-08-31
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📄 About

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

deeplake has 9.2k stars on GitHub. It has been forked 724 times. deeplake is written mainly in C++. It has been in active development since 2019. deeplake is available under the Apache-2.0 license. Its main topics are agent, agentic-rag, ai, clawbot.

Frequently asked questions

What is deeplake?

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Is deeplake open source?

deeplake is an open-source project. It is released under the Apache-2.0 license.

Is deeplake free?

Yes. deeplake is free and open source — you can use, modify and self-host it.

What license does deeplake use?

deeplake is available under the Apache-2.0 license.

What language is deeplake written in?

deeplake is written mainly in C++.

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