What is multi-vector retrieval?

Multi-vector retrieval indexes each document with multiple embeddings, each representing different aspects. For example, you might create separate embeddings for the document's summary, hypothetical questions it answers, and its raw text. Searching across all of them improves recall, especially when queries phrase things differently from how documents are written.