Introduction to Vector Databases

• Familiarity with database principles
• No prior experience with machine learning required

Audience

• Software developers
• Database administrators

A vector database is a specialized repository designed to store, index, and query high-dimensional vector data efficiently, facilitating advanced search and retrieval operations for AI applications.

This instructor-led, live training (online or onsite) is aimed at beginner-level software developers and database administrators who wish to learn the basics of vector databases, including their structure, operation, and use cases.

By the end of this training, participants will be able to:

• Understand the concept and purpose of vector databases.
• Recognize the differences between vector and traditional databases.
• Learn basic techniques for creating and managing vector data.
• Perform simple similarity searches.
• Appreciate the role of vector databases in AI applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to High-Dimensional Data

• Understanding data dimensions
• Importance in AI and machine learning

Basics of Vector Databases

• What are vector databases?
• Key features and benefits
• Vector databases vs traditional databases

Working with Vector Data

• Types of vector data
• Basic operations on vectors
• Introduction to vector embeddings

Indexing and Searching

• Simple indexing strategies
• Performing basic similarity searches
• Use cases for similarity searches

Vector Databases and AI

• How vector databases support AI
• Simple AI applications using vector databases
• Future trends in vector databases

Hands-On Exercises

• Creating a small vector database
• Indexing and searching vector data
• Discussing real-world applications

Summary and Next Steps