> ## Documentation Index
> Fetch the complete documentation index at: https://langchain.idochub.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# VDMS

> [VDMS](https://github.com/IntelLabs/vdms/blob/master/README.md) is a storage solution for efficient access
> of big-”visual”-data that aims to achieve cloud scale by searching for relevant visual data via visual metadata
> stored as a graph and enabling machine friendly enhancements to visual data for faster access.

## Installation and Setup

### Install Client

<CodeGroup>
  ```bash pip theme={null}
  pip install langchain-vdms
  ```

  ```bash uv theme={null}
  uv add langchain-vdms
  ```
</CodeGroup>

### Install Database

There are two ways to get started with VDMS:

1. Install VDMS on your local machine via docker
   ```bash theme={null}
       docker run -d -p 55555:55555 intellabs/vdms:latest
   ```

2. Install VDMS directly on your local machine. Please see
   [installation instructions](https://github.com/IntelLabs/vdms/blob/master/INSTALL.md).

## VectorStore

To import this vectorstore:

```python theme={null}
from langchain_vdms import VDMS
from langchain_vdms.vectorstores import VDMS
```

To import the VDMS Client connector:

```python theme={null}
from langchain_vdms.vectorstores import VDMS_Client
```

For a more detailed walkthrough of the VDMS wrapper, see [this guide](/oss/python/integrations/vectorstores/vdms).