# Vector Store Tutorials

## How to use Deep Lake as a Vector Store for LLM applications

Deep Lake can be used as a Vector Store for storing embeddings and their metadata including text, jsons, images, audio, video, and more. Its serverless architecture can be self-hosted, and it is also available via fully managed service. 

Deep Lake's designated API for Vector Store applications is shown in these tutorials. Details on the l[ow-level Deep Lake API are available here.](https://docs-v3.activeloop.ai/v3.6.3/tutorials/deep-learning) 

### Vector Store Tutorials:

{% content-ref url="vector-store/deep-lake-vector-store-in-langchain" %}
[deep-lake-vector-store-in-langchain](https://docs-v3.activeloop.ai/v3.6.3/tutorials/vector-store/deep-lake-vector-store-in-langchain)
{% endcontent-ref %}

{% content-ref url="vector-store/vector-search-options" %}
[vector-search-options](https://docs-v3.activeloop.ai/v3.6.3/tutorials/vector-store/vector-search-options)
{% endcontent-ref %}