Embeddings: The Core Concept
Explore what embeddings are, how they represent data in a vector space, and their role in similarity calculations.
Meet Embeddings!
Embeddings are digital fingerprints for your data — they turn words, images, or whole documents into vectors that capture meaning and context.
Why Do We Need Them?
Computers understand numbers, not raw language or images. Embeddings bridge that gap, giving the machine a numerical description it can actually process.
All lessons in this course
- What are Vector Databases?
- Embeddings: The Core Concept
- Similarity Search Explained
- Distance Metrics and Indexing Basics