Which approach stores vectors so that both the embedding and its metadata are retrievable in one query?
- A Store the vector in a HASH alongside metadata fields and index both (correct answer)
- B Store vectors in a separate database
- C Use Pub/Sub to join data
- D Store metadata in a List
Shortcut: SEARCH return metadata with the nearest-neighbour results in one call.
Indexing TEXT, TAG, or NUMERIC fields in the same HASH or JSON document as the VECTOR field lets FT.SEARCH return metadata with the nearest-neighbour results in one call.