A search method that finds content by meaning, not exact words.
Vector search is like a librarian for half-remembered thoughts. Say “the space cat thing,” and it still finds the right page.
You meet it in knowledge-base search and recommendations. RAG uses it to find nearby facts first.
Embedding
Vector search uses Embedding to turn text or images into comparable vectors.
Vector-db
Vector-db is the usual storage and search base for vector search.
RAG
RAG often uses vector search to find material before the model writes an answer.