Vector Databases & Embeddings for Developers

Dive into the world of advanced data handling with vector databases and embeddings. This course will teach you how to efficiently index, retrieve, and manage complex data types enhancing your development skills for modern applications.

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.

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