Vector Embeddings
Numerical representations of text for semantic similarity.
Vector embeddings convert text into high-dimensional numerical vectors that capture semantic meaning, enabling similarity search and retrieval.
Formula
similarity = cosine(vec_a, vec_b)Related Terms
- Semantic Search — Search that understands intent and contextual meaning.
- RAG Systems — Retrieval-Augmented Generation for AI responses.