Embedding
Numerical representation of text, images, or audio in a vector space.
Embeddings are numerical vectors that capture the semantic meaning of text, images, or other data. Similar texts produce vectors that are close to each other in space. They are the foundation of semantic search, recommendation systems, and RAG.
Practical examples
- Semantic search on documents
- Similar product recommendations
- Automatic clustering of articles
- Duplicate detection