47 lines
1.5 KiB
Plaintext
47 lines
1.5 KiB
Plaintext
---
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title: '📰 PDF file'
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---
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To add any pdf file, use the data_type as `pdf_file`. Eg:
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```python
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from embedchain import App
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app = App()
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app.add('https://arxiv.org/pdf/1706.03762.pdf', data_type='pdf_file')
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app.query("What is the paper 'attention is all you need' about?", citations=True)
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# 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.
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# Contexts:
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# [
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# (
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# 'Provided proper attribution is ...',
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# {
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# 'page': 0,
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# 'url': 'https://arxiv.org/pdf/1706.03762.pdf',
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# 'score': 0.3676220203221626,
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# ...
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# }
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# ),
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# (
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# 'Attention Visualizations Input ...',
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# {
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# 'page': 12,
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# 'url': 'https://arxiv.org/pdf/1706.03762.pdf',
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# 'score': 0.41679039679873736,
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# ...
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# }
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# ),
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# (
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# 'sequence learning ...',
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# {
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# 'page': 10,
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# 'url': 'https://arxiv.org/pdf/1706.03762.pdf',
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# 'score': 0.4188303600897153,
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# ...
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# }
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# )
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# ]
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```
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Note that we do not support password protected pdfs. |