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26 lines
1.1 KiB
Markdown
26 lines
1.1 KiB
Markdown
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# Deep Lake
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This page covers how to use the Deep Lake ecosystem within LangChain.
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It is broken into two parts: installation and setup, and then references to specific Deep Lake wrappers. For more information.
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1. Here is [whitepaper](https://www.deeplake.ai/whitepaper) and [academic paper](https://arxiv.org/pdf/2209.10785.pdf) for Deep Lake
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2. Here is a set of additional resources available for review: [Deep Lake](https://github.com/activeloopai/deeplake), [Getting Started](https://docs.activeloop.ai/getting-started) and [Tutorials](https://docs.activeloop.ai/hub-tutorials)
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## Installation and Setup
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- Install the Python package with `pip install deeplake`
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## Wrappers
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### VectorStore
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There exists a wrapper around Deep Lake, a data lake for Deep Learning applications, allowing you to use it as a vectorstore (for now), whether for semantic search or example selection.
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To import this vectorstore:
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```python
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from langchain.vectorstores import DeepLake
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```
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For a more detailed walkthrough of the Deep Lake wrapper, see [this notebook](../modules/indexes/vectorstore_examples/deeplake.ipynb)
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