Create range indexes for exact/range lookups

To create a range index in FalkorDB, you create indexes for specific node labels and properties to accelerate exact matches and range-based filters in Cypher WHERE clauses. This prevents slower full graph scans.

Your FalkorDB WHERE clause is slow because it relies on full scans instead of using indexes. Creating range indexes for node properties accelerates exact and range query lookups, improving predicate execution.

You need range indexes for graph database property lookups when executing queries that filter nodes using equality or range conditions. Indexing properties like age accelerates user searches and range queries in graph workloads.

Yes, you can use FalkorDB indexes to optimize both exact match and range queries. Creating indexes for node labels and properties directly accelerates WHERE clause execution for equality and range-based filters.

The best way to index a Person node label for age range queries is to create a FalkorDB range index on the age property. This optimizes social graph applications by making user searches and range filters execute efficiently.