activeloopai / deeplake
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Why this job: topics: rag, vector-database
What it does
Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for:
Get started
pip install deeplake- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 9,263
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- Linux
- From the latest release
- Latest version
- v4.5.2
- Released 9 months ago
- Built with
- C++
- 52% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 91% closed
- 51 still open
- Pull requests
- 2,054 merged
- 40 waiting
- Releases
- 260
- 7 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
More: download files, languages, topics and project record
Languages
- C++ 52%
- Python 39%
- PLpgSQL 6%
- CMake 2%
Topics
- agent
- agentic-rag
- ai
- clawbot
- computer-vision
- datalake
- deep-learning
- filesystem
- large-language-models
- llm
- memory
- mlops
Project record
- JobRAG and search
- StatusListed
- Commits9,411
- Forks724
- Watching96
- Stars in 28 days+20
- CreatedAug 9, 2019
- First seen by usNov 7, 2026
- CheckedNov 7, 2026