Similarity Search Explained
Understand the algorithms and mechanisms behind finding similar items using vector distance metrics.
Finding What's Alike
You know vectors and embeddings — now see how vector databases use them to find items that are alike. That process is similarity search.
Vectors: Your Data's Coordinates
An embedding is just coordinates in a space, like [0.1, 0.5, -0.2]. Similarity search compares them: close coordinates mean similar original items.
All lessons in this course
- What are Vector Databases?
- Embeddings: The Core Concept
- Similarity Search Explained
- Distance Metrics and Indexing Basics