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- ---
- 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.
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