# Deep Lake Docs

## Activeloop Deep Lake

### Deep Lake as a Vector Store

* **Store embeddings and their metadata including text, jsons, images, audio, video, and more. Save the data locally, in your cloud, or on Deep Lake storage.**
* **Perform complex search including embeddings and their attributes.** 
* **Build LLM Apps using or integrations with** [**LangChain**](/v3.7.0/tutorials/vector-store/deep-lake-vector-store-in-langchain.md) **and LlamaIndex**
* **Run computations locally or on our** [**Managed Tensor Database**](/v3.7.0/performance-features/managed-database.md)

### Deep Lake as a Data Lake For Deep Learning

* **Store images, audios, videos, text and their metadata (i.e. annotations) in a data format optimized for Deep Learning. Save the data locally, in your cloud, or on Activeloop storage.**
* **Rapidly train PyTorch and TensorFlow models while streaming data with no boilerplate code.**
* **Run version control, dataset queries, and distributed workloads using a simple Python API.**

### To start using Deep Lake ASAP, check out our [Vector Store Quickstart](/v3.7.0/quickstart.md), [Deep Learning Quickstart](/v3.7.0/quickstart-dl.md), [Getting Started Guides](/v3.7.0/getting-started.md), [Tutorials](/v3.7.0/tutorials.md), and [Playbooks](/v3.7.0/playbooks.md).

Please check out Deep Lake's [GitHub repository](https://github.com/activeloopai/Hub) and give us a ⭐ if you like the project.  

Join our [Slack Community ](https://slack.activeloop.ai)if you need help or have suggestions for improving documentation!

### Deep Lake Docs Overview

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[Vector Store Quickstart](/v3.7.0/quickstart.md)
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[Deep Learning Quickstart](/v3.7.0/quickstart-dl.md)
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[Storage & Credentials](/v3.7.0/storage-and-credentials.md)
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[Getting Started](/v3.7.0/getting-started.md)
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[Tutorials (w Colab)](/v3.7.0/tutorials.md)
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[Playbooks](/v3.7.0/playbooks.md)
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[Dataset Visualization](/v3.7.0/technical-details/dataset-visualization.md)
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[Best Practices](/v3.7.0/technical-details/best-practices.md)
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[Low-Level API Summary](/v3.7.0/api-basics.md)
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[Broken mention](broken://pages/-MaF37-3rOH3OULo477N)
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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs-v3.activeloop.ai/v3.7.0/master.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.