AI Semantic Search for E-commerce | Azure Cosmos DB
![AI Semantic Search for E-commerce | Azure Cosmos DB AI Semantic Search for E-commerce | Azure Cosmos DB](https://static.libsyn.com/p/assets/b/3/a/b/b3abeb8992badc1a88c4a68c3ddbc4f2/podcast-20240501-4ia3e5u5yp.webp)
In this tutorial, you'll learn how to build low-latency recommendation engines with Azure Cosmos DB and Azure OpenAI Service. By using vector-based semantic search, you can offer personalized recommendations in real-time, going beyond traditional keyword limitations. With pre-trained models stored in Azure Cosmos DB, you can tailor product predictions based on user interactions and preferences. This tutorial also explores the power of augmented vector search to optimize results prioritized by relevance, building recommendation systems with limitless scalability, leveraging pre-computed vectors and collaborative filtering.
This tutorial is presented by Kirill Gavrylyuk, Azure Cosmos DB General Manager, and offers step-by-step guidance on how to create recommendation systems that deliver next-level, real-time insights. Whether you're a seasoned developer or just starting your journey, this tutorial provides you with the know-how to get the best results.
Make sure to check out the quick links and code snippets provided in the tutorial to get started. You can also try out Cosmos DB for MongoDB for free, and watch more Microsoft Mechanics videos to keep up with the latest in tech.
The post AI Semantic Search for Your Website with Azure Cosmos DB | E-commerce originally appeared on Microsoft Mechanics.
Published on:
Learn more![Microsoft Mechanics Podcast Microsoft Mechanics Podcast](https://ssl-static.libsyn.com/p/assets/a/2/c/8/a2c88acc220e584927a2322813b393ee/MM-Logo-Gradient.png)
Made for tech enthusiasts and IT professionals. Expanded coverage of your favorite technologies across Microsoft; including Office, Azure, Windows and Data Platforms. We'll even bring you broader topics such as device innovation with Surface, machine learning, and predictive analytics.
Related posts
Power Automate Creating Azure DevOps Items
Update on Azure Boards + GitHub Integration
It’s been a few months since our last update on the initiative to enhance the integration between Azure Boards and GitHub. We’re e...
Bring your custom engine copilot from Azure OpenAI Studio to Microsoft Teams: now in public preview
Azure OpenAI now offers a Deploy to a Teams app option in public preview, providing a new way to connect enterprise data with custom engine co...
Enhancing Security and Scalability with Reusable Workflows in GitHub and Pipeline Templates in Azure
Introduction In the world of modern software development, efficiency, security, and scalability are paramount. Leveraging template work...