Handling complex data types and efficiently retrieving information from massive datasets can be challenging for developers, particularly when traditional databases fall short in performance and flexibility. In this course, Vector Databases & Embeddings for Developers, you’ll learn to effectively manage and query complex data types using vector databases and embeddings. First, you’ll explore the standard retrieval model and understand the foundational differences between vector databases and traditional database systems. Next, you’ll discover how to define and utilize embeddings to represent complex data types like text and images in a way that enhances search and retrieval processes. Finally, you’ll learn how to implement these concepts in real-world applications, using C#, Azure to create efficient, intelligent data handling solutions. When you’re finished with this course, you’ll have the skills and knowledge of vector databases and embeddings needed to tackle modern data challenges and enhance your development projects with advanced data analysis and retrieval techniques.
Author Name: JS Padoan
Author Description:
With 20 years of experience in the Microsoft eco-system, Jean-Sébastien assists clients in designing, building, developing and deploying Microsoft solutions in on-premise or Azure / Office365 environments. JS has skills, experience and certifications in Windows Server / .NET / SharePoint / SqlServer / Office365 / PowerPlatform. He also teaches these subjects as a Microsoft certified trainer for 13 years. He is also a Microsoft power-seller in the area of data and analysis and is therefore able t… more

Table of Contents

• Course Overview
  1min
• Understanding Vector Databases and the Standard Retrieval Model
  11mins
• Leveraging Embeddings in Vector Databases
  17mins