Query & retrieval runtime

How one query runtime fuses graph traversal, vector ANN, and full-text search — the .gq surface, the search functions, RRF fusion, embeddings, and the executor underneath.

Functions

Function	Purpose	Backing index
`nearest($x.vec, $q)`	k-NN vector search (cosine)	vector index (IVF / HNSW)
`search(field, q)`	Generic full-text search	inverted (FTS) index
`fuzzy(field, q [, max_edits])`	Levenshtein-tolerant text search	inverted index
`match_text(field, q)`	Pattern match	inverted index
`bm25(field, q)`	BM25 relevance scoring	inverted index
`rrf(rank_a, rank_b [, k])`	Reciprocal Rank Fusion of two rankings (default `k=60`)	fuses scored rankings

nearest() requires a limit. The query vector is resolved from the param map, or embedded from a text input at runtime via the configured embedding client.
Scores and ranks propagate as ordinary columns, so you can return a score and order by it.