falkordb 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
kis the number of nearest neighbors to return; results are ordered by similarity.- Pass the query vector with
vecf32([...]). YIELD node, scoreexposes 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.