deeplake 4.5.2

Data Lake for Multi-Modal AI Search

06-28-2023 218 words 2 minutes 0 views

Contents

Deep Lake is a Database for AI powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications. It simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage for all workloads, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more.

9006 Stars :star:

Stars: 9006, Watchers: 9006, Forks: 704, Open Issues: 62

The activeloopai/deeplake repo was created 6 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 9006 github stars!

How to Install deeplake

You can install deeplake using pip

pip install deeplake

or add it to a project with poetry

poetry add deeplake

Package Details

Author: activeloop.ai
License: None
Homepage: None
PyPi:: https://pypi.org/project/deeplake/
Documentation:: https://docs.deeplake.ai/
GitHub Repo:: https://github.com/activeloopai/deeplake

No deeplake pypi packages just yet.

Errors

A list of common deeplake errors.

Code Examples

Here are some deeplake code examples and snippets.

GitHub Issues

The deeplake package has 62 open issues on GitHub

Stateless PG extension
[BUG] Deeplake 4.x: S3 connectivity timeout when accessing hub://activeloop datasets
[BUG] Deeplake is installed but still doesnt work.

See more issues on GitHub

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