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Find nearest-neighbor nodes with the db.idx.vector.queryNodes procedure when a vector index exists
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SOC 職業分類に基づく
Use algo.SPpaths/algo.SSpaths procedures and variable-length patterns to find paths in read queries
Search text properties with the db.idx.fulltext.queryNodes procedure when a full-text index exists
Write predicates that let FalkorDB use indexes and avoid full scans in read queries
Prefix read queries with CYPHER parameters for plan caching and safer value handling
| name | Query FalkorDB vector indexes |
| description | Find nearest-neighbor nodes with the db.idx.vector.queryNodes procedure when a vector index exists |
Use FalkorDB's vector search procedure to find approximate nearest neighbors by embedding similarity.
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.
CALL db.idx.vector.queryNodes('Product', 'embedding', 5, vecf32([0.1, 0.2, 0.3])) YIELD node, score
RETURN node.name, score
k is the number of nearest neighbors to return; results are ordered by similarity.vecf32([...]).YIELD node, score exposes each match and its similarity score.