activeloopai/deeplake
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
- Stars
- 9.3k
- Forks
- 725
- Open issues
- 91
- Last push
- 5mo ago
About deeplake
deeplake is a free, open-source RAG and AI search tool by activeloopai, written mainly in C++. Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. It has 9.3k GitHub stars and 725 forks, and was last updated 5mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- C++
- Stars
- 9,258
- Last update
- 5mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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deeplake FAQ
Is deeplake free?
Yes. deeplake is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does deeplake run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does deeplake need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is deeplake still maintained?
It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to deeplake?
Similar free, open-source tools include ragflow, OpenViking, PageIndex, milvus.