> For the complete documentation index, see [llms.txt](https://epsilla-inc.gitbook.io/epsilladb/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://epsilla-inc.gitbook.io/epsilladb/knowledge-base/azure-blob-storage.md).

# Azure Blob Storage

The **Azure Blob Storage** data source in Epsilla enables users to connect to an Azure Blob Storage container and manage documents for their knowledge base. This integration is perfect for handling documents stored in cloud environments, such as PDFs, Word documents, images, or spreadsheets, for retrieval purposes.

### Select Knowledge Base Type

Choose **Azure Blob Storage** to proceed.

<figure><img src="/files/CPADbS04mDbjCmii1bZb" alt=""><figcaption></figcaption></figure>

### Knowledge Base Name

Provide a **Knowledge Base Name**. A valid name must start with a letter or '\_', and it can contain only letters, digits, underscores, and whitespaces. Example: `MyABSDocs`.

<figure><img src="/files/2Bx24CSwDnvocp419eSD" alt="" width="563"><figcaption></figcaption></figure>

### Configure Azure Blob Storage Connection

Input the following details to connect your Azure Blob Storage container:

1. **Storage Account Name**: Provide the name of your Azure Blob Storage account (e.g., `epsillablobstaging`).
2. **Storage Access Key**: Enter the access key associated with your Azure Blob Storage account.
3. **Bucket | Container Name**: Specify the container name where your documents are stored (e.g., `epsilla`).
4. **Prefix** *(Optional)*: If you want to focus on a specific folder or path within the container, enter it here. Leave it blank to use the bucket root.

<figure><img src="/files/hY9xRAAx1z34FJ3vl8yO" alt="" width="563"><figcaption></figcaption></figure>

### Data Processing

Once the connection details are entered, click **Create**:

Epsilla will automatically process the container files. During this process, the platform loads, chunks, and embeds the documents into vectors for efficient retrieval. You can monitor the progress of data processing in real-time:

<figure><img src="/files/p16Wi06Aetqms47W9gAx" alt="" width="524"><figcaption></figcaption></figure>

After the data is processed, the list of documents imported from the container will be visible in the **Loaded Files** section. Files that are ready for use will be marked as **Ready**, while those still processing will show a status of **Processing data**.

<figure><img src="/files/nYlUC0VzKvMc7tzZdyha" alt="" width="563"><figcaption></figcaption></figure>

You can update or edit your Azure Blob Storage configuration by navigating to the **Data Sources** tab under your knowledge base.


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# Agent Instructions
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## 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, and the optional `goal` query parameter:

```
GET https://epsilla-inc.gitbook.io/epsilladb/knowledge-base/azure-blob-storage.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
