query-falkordb-vector-indexes

name	Query FalkorDB vector indexes
description	Find nearest-neighbor nodes with the db.idx.vector.queryNodes procedure when a vector index exists

Query FalkorDB vector indexes

Use FalkorDB's vector search procedure to find approximate nearest neighbors by embedding similarity.

Usage

Only when the ontology declares a vector index for the label and property, call db.idx.vector.queryNodes('Label', 'property', k, vecf32([...])) and yield node, score.

Example

CALL db.idx.vector.queryNodes('Product', 'embedding', 5, vecf32([0.1, 0.2, 0.3])) YIELD node, score
RETURN node.name, score

Notes

• k is the number of nearest neighbors to return; results are ordered by similarity.
• Pass the query vector with vecf32([...]).
• YIELD node, score exposes each match and its similarity score.
• Use this only when the ontology lists a vector index for the label and property.
• Vector search is read-only; it queries an existing index and does not modify the graph.