---
title: '📰 PDF file'
---

To add any pdf file, use the data_type as `pdf_file`. Eg:

```python
from embedchain import App

app = App()

app.add('https://arxiv.org/pdf/1706.03762.pdf', data_type='pdf_file')
app.query("What is the paper 'attention is all you need' about?", citations=True)
# Answer: The paper "Attention Is All You Need" proposes a new network architecture called the Transformer, which is based solely on attention mechanisms. It suggests that complex recurrent or convolutional neural networks can be replaced with a simpler architecture that connects the encoder and decoder through attention. The paper discusses how this approach can improve sequence transduction models, such as neural machine translation.
# Contexts: 
# [
#     (
#         'Provided proper attribution is ...',
#         {
#             'page': 0,
#             'url': 'https://arxiv.org/pdf/1706.03762.pdf',
#             'score': 0.3676220203221626,
#             ...
#         }
#     ),
#     (
#         'Attention Visualizations Input ...',
#         {
#             'page': 12,
#             'url': 'https://arxiv.org/pdf/1706.03762.pdf',
#             'score': 0.41679039679873736,
#             ...
#         }
#     ),
#     (
#         'sequence learning ...',
#         {
#             'page': 10,
#             'url': 'https://arxiv.org/pdf/1706.03762.pdf',
#             'score': 0.4188303600897153,
#             ...
#         }
#     )
# ]
```

Note that we do not support password protected pdfs.