Search

OmniGraph runs vector, full-text, and hybrid search in the same runtime as graph traversal — a single query can combine a vector nearest, a bm25 text score, and an Expand traversal. Search functions are used inside match (to filter), or as expressions inside return / order (to score and rank).

Functions

• 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.

Hybrid ranking with rrf

Reciprocal Rank Fusion combines two independent rankings (typically one vector and one text) into a single fused ranking, without needing the two score scales to be comparable. Rank each retrieval separately, then fuse:

query hybrid($q: String) {
  match { $d: Document { } }
  return {
    $d,
    rrf( nearest($d.embedding, $q), bm25($d.body, $q) ) as score
  }
  order { score desc }
  limit 10
}

Indexes and embeddings

Search functions only work when the backing index exists — see indexes for building vector and inverted indexes, and embeddings for generating the vectors nearest searches over.