activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
This tool helps AI engineers and data scientists manage, store, and query the vast amounts of unstructured data (like images, videos, audio, and text) needed for training AI models or building LLM applications. It takes in raw AI data and outputs structured, searchable datasets that can be streamed directly to machine learning frameworks. It's designed for anyone working with large, diverse AI datasets who needs efficient data handling.
9,033 stars. Used by 1 other package. Available on PyPI.
Use this if you need a scalable, efficient way to store, version, query, and stream diverse AI data (like embeddings, images, or video) for training deep learning models or powering LLM-based applications.
Not ideal if your primary need is for a traditional relational database for structured tabular data without deep learning or LLM application requirements.
Stars
9,033
Forks
709
Language
C++
License
Apache-2.0
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
Dependencies
3
Reverse dependents
1
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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/activeloopai/deeplake"
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