Embeddings

What it is

Embeddings are numerical representations of text (or images, audio, etc.) that capture semantic meaning. Similar concepts have similar embeddings, allowing computers to understand that "dog" and "puppy" are related even though they're different words. Embeddings exist in a high-dimensional space, typically hundreds or thousands of dimensions.

Why it matters

Embeddings power semantic search, recommendation systems, and how models understand meaning. When you search and get relevant results even without exact keyword matches, embeddings are often responsible. They're also crucial for RAG systems that find relevant information to include in AI responses.