A Practical Introduction to Vector Databases
A course by
June, 2025
19 lessons
English
Overview
Curriculum
In this module, we’ll uncover how vector databases power modern applications, focusing on their mechanics and practical uses. We’ll explore types of searches, understand Approximate Nearest Neighbor (ANN) algorithms like HNSW, and learn to address scaling, reliability, and cost challenges in production. The module also includes hands-on guidance to set up a chatbot using Weaviate and Verba.
What You'll Learn
- Explain the working principles of vector databases and their role in modern applications
- Differentiate between various types of searches performed with vector databases
- Analyze the efficiency of ANN algorithms like HNSW and their impact on performance
- Apply practical exercises using the Weaviate vector database to explore different search techniques

$100.00
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123 Students
19 Lessons
English
Skill Level All levels
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