<description>&lt;p&gt;Build low-latency recommendation engines with Azure Cosmos DB and Azure OpenAI Service. Elevate user experience with vector-based semantic search, going beyond traditional keyword limitations to deliver personalized recommendations in real-time. With pre-trained models stored in Azure Cosmos DB, tailor product predictions based on user interactions and preferences. Explore the power of augmented vector search for optimized results prioritized by relevance.&lt;/p&gt; &lt;p&gt;Kirill Gavrylyuk, Azure Cosmos DB General Manager, shows how to build recommendation systems with limitless scalability, leveraging pre-computed vectors and collaborative filtering for next-level, real-time insights.&lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p&gt;&lt;span class="yt-core-attributed-string--link-inherit-color"&gt;► QUICK LINKS: &lt;br /&gt;&lt;/span&gt;&lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=0s" target="" rel="nofollow"&gt;00:00&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Build a low latency recommendation engine&lt;br /&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=59s" target="" rel="nofollow"&gt;00:59&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Keyword search&lt;br /&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=106s" target="" rel="nofollow"&gt;01:46&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Vector-based semantic search&lt;br /&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=159s" target="" rel="nofollow"&gt;02:39&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Vector search built-in to Cosmos DB&lt;br /&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=236s" target="" rel="nofollow"&gt;03:56&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Model training&lt;br /&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=318s" target="" rel="nofollow"&gt;05:18&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Code for product predictions&lt;br /&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=362s" target="" rel="nofollow"&gt;06:02&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Test code for product prediction&lt;br /&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=399s" target="" rel="nofollow"&gt;06:39&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Augmented vector search&lt;br /&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=503s" target="" rel="nofollow"&gt;08:23&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Test code for augmented vector search&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;br /&gt; &lt;a class= "yt-core-attributed-string__link yt-core-attributed-string__link--display-type yt-core-attributed-string__link--call-to-action-color" tabindex="0" href= "https://www.youtube.com/watch?v=3T0K61VbnFw&amp;t=556s" target="" rel="nofollow"&gt;09:16&lt;/a&gt;&lt;/span&gt; &lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;- Wrap up&lt;/span&gt;&lt;/p&gt; &lt;p&gt; &lt;/p&gt; &lt;p dir="ltr"&gt;► Link References&lt;/p&gt; &lt;p dir="ltr"&gt;Walk through an example at &lt;a href= "https://aka.ms/CosmosDBvectorSample"&gt;https://aka.ms/CosmosDBvectorSample&lt;/a&gt; &lt;/p&gt; &lt;p dir="ltr"&gt;Try out Cosmos DB for MongoDB for free at &lt;a href="https://aka.ms/TryC4M"&gt;https://aka.ms/TryC4M&lt;/a&gt;&lt;/p&gt; &lt;p&gt;&lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;strong&gt; &lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;p dir="ltr"&gt;► Unfamiliar with Microsoft Mechanics? &lt;/p&gt; &lt;p dir="ltr"&gt;As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.&lt;/p&gt; &lt;p dir="ltr"&gt;• Subscribe to our YouTube: &lt;a href= "https://www.youtube.com/c/MicrosoftMechanicsSeries"&gt;https://www.youtube.com/c/MicrosoftMechanicsSeries&lt;/a&gt;&lt;/p&gt; &lt;p dir="ltr"&gt;• Talk with other IT Pros, join us on the Microsoft Tech Community: &lt;a href= "https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog"&gt; https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog&lt;/a&gt;&lt;/p&gt; &lt;p dir="ltr"&gt;• Watch or listen from anywhere, subscribe to our podcast: &lt;a href= "https://microsoftmechanics.libsyn.com/podcast"&gt;https://microsoftmechanics.libsyn.com/podcast&lt;/a&gt;&lt;/p&gt; &lt;p&gt;&lt;span class= "yt-core-attributed-string--link-inherit-color"&gt;&lt;strong&gt; &lt;/strong&gt;&lt;/span&gt;&lt;/p&gt; &lt;p dir="ltr"&gt;► Keep getting this insider knowledge, join us on social:&lt;/p&gt; &lt;p dir="ltr"&gt;• Follow us on Twitter: &lt;a href= "https://twitter.com/MSFTMechanics"&gt;https://twitter.com/MSFTMechanics &lt;/a&gt;&lt;/p&gt; &lt;p dir="ltr"&gt;• Share knowledge on LinkedIn: &lt;a href= "https://www.linkedin.com/company/microsoft-mechanics/"&gt;https://www.linkedin.com/company/microsoft-mechanics/&lt;/a&gt;&lt;/p&gt; &lt;p dir="ltr"&gt;• Enjoy us on Instagram: &lt;a href= "https://www.instagram.com/msftmechanics/"&gt;https://www.instagram.com/msftmechanics/&lt;/a&gt;&lt;/p&gt; &lt;p dir="ltr"&gt;• Loosen up with us on TikTok: &lt;a href= "https://www.tiktok.com/@msftmechanics"&gt;https://www.tiktok.com/@msftmechanics&lt;/a&gt;&lt;/p&gt; &lt;p&gt; &lt;/p&gt;</description>

Microsoft Mechanics Podcast

Microsoft Mechanics

AI Semantic Search for Your Website with Azure Cosmos DB | E-commerce

MAY 1, 202410 MIN
Microsoft Mechanics Podcast

AI Semantic Search for Your Website with Azure Cosmos DB | E-commerce

MAY 1, 202410 MIN

Description

Build low-latency recommendation engines with Azure Cosmos DB and Azure OpenAI Service. Elevate user experience with vector-based semantic search, going beyond traditional keyword limitations to deliver personalized recommendations in real-time. With pre-trained models stored in Azure Cosmos DB, tailor product predictions based on user interactions and preferences. Explore the power of augmented vector search for optimized results prioritized by relevance.

Kirill Gavrylyuk, Azure Cosmos DB General Manager, shows how to build recommendation systems with limitless scalability, leveraging pre-computed vectors and collaborative filtering for next-level, real-time insights.

 

► QUICK LINKS: 00:00 - Build a low latency recommendation engine 00:59 - Keyword search 01:46 - Vector-based semantic search 02:39 - Vector search built-in to Cosmos DB 03:56 - Model training 05:18 - Code for product predictions 06:02 - Test code for product prediction 06:39 - Augmented vector search 08:23 - Test code for augmented vector search 09:16 - Wrap up

 

► Link References

Walk through an example at https://aka.ms/CosmosDBvectorSample 

Try out Cosmos DB for MongoDB for free at https://aka.ms/TryC4M

 

► Unfamiliar with Microsoft Mechanics? 

As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.

• Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries

• Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog

• Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast

 

► Keep getting this insider knowledge, join us on social:

• Follow us on Twitter: https://twitter.com/MSFTMechanics 

• Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/

• Enjoy us on Instagram: https://www.instagram.com/msftmechanics/

• Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics