In practice
You compute them once with an embedding model and store them in a vector database. They power semantic search, document dedup, clustering, and the retrieval step in a RAG system.
You compute them once with an embedding model and store them in a vector database. They power semantic search, document dedup, clustering, and the retrieval step in a RAG system.