# Ingesting with Metadata

## Uploading Data

This section handles batch uploading PDF files from philosophy and mathematics categories providing extra metadata.

```python
import os
import json
import requests

url = 'https://api.activeloop.ai/files'
headers = {'Authorization': f'Bearer {os.getenv("ACTIVELOOP_TOKEN")}'}

for category in ['philosophy', 'mathematics']:
    for author in os.listdir(category):
        files = [('file', (pdf, open(f'{category}/{author}/{pdf}', 'rb'))) for pdf in os.listdir(f'{category}/{author}')]
        
        # specify any extra metadata 
        metadata = { 
            'category': category,
            'author': author
        }
        data = {'metadata': json.dumps(metadata)}
        
        # upload files 
        response = requests.post(url, headers=headers, files=files, data=data)
        print(response.status_code)
```

You can learn more on supported document type by going over [modalities](/user-guide/ingesting-with-metadata/modalities.md). 


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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.activeloop.ai/user-guide/ingesting-with-metadata.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.