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

# Azure Blob Connector

> Retrieve data from Azure Blob storage

Connect to an existing Azure Blob Storage and pull any data stored. To connect Azure Blob Storage you will need your credentials to access the resource including the connection string and container name you want to access.

## Properties

Required properties:

* `connection_string`: Connection string to the Azure Blob Storage
* `container_name`: Name of the container in Azure Blob Storage

Available metadata

* `name`: Name of the blob
* `last_modified`: Time of last modification
* `creation_time`: Time of blob creation
* `last_access_on`: Time of last blob access

Compatible loaders:

* AutoLoader
* HTMLLoader
* MarkdownLoader
* NeumCSVLoader
* NeumJSONLoader
* PDFLoader

## Usage

<CodeGroup>
  ```python Local Development
  from neumai.DataConnectors import AzureBlobConnector
  from neumai.Shared import Selector

  azure_blob_connector =  AzureBlobConnector(
      connection_string = "<INSERT AZURE BLOB CONNECTION STRING>",
      container_name = "<INSER CONTAINER NAME IN BLOB STORAGE>",
      selector = Selector(
          to_metadata=['name']
      )
  )
  ```

  ```json Cloud
  {
      "sources":[
          {
              "data_connector": {
                  "connector_name":"AzureBlobConnector",
                  "connector_information":{
                      "connection_string":"<INSERT AZURE BLOB CONNECTION STRING",
                      "container_name":"<INSER CONTAINER NAME IN BLOB STORAGE",
                      "selector": {
                          "to_metadata": [
                              "name"
                          ]
                      }
                  },
              }
          }
      ]
  }
  ```
</CodeGroup>