# Compute dot product similarity and display results
return_results(query_emb.float, doc_emb.float, faqs_long)
```

```
Rank: 1
Score: 0.352135965228231
Document: {'text': 'Joining Slack Channels: You will receive an invite via email. Be sure to join relevant channels to stay informed and engaged.'}

Rank: 2
Score: 0.31995661889273097
Document: {'text': 'Working from Abroad: Working remotely from another country is possible. Simply coordinate with your manager and ensure your availability during core hours.'}
```

And here are the search results of using the `int8` embeddings.

```python PYTHON