Neo4j Aura Database feature update!

The following core Neo4j Database features are now available for users in Aura:

Vector Index settings and parameters:

Expanded the allowed index settings for
vector-2.0
vector index provider. Newly created vector indexes can explicitly enable or disable quantization of the vectors within the index using
vector.quantization.enable
, new indexes will have quantization enabled by default. Previously created vector indexes will continue to work as if quantization is disabled. Please see the vector index documentation for details.
Added the ability to control the advanced customisation of HNSW hyperparameters
vector.hnsw.m
and
vector.hnsw.ef_construction
. Please consult the vector index advanced configuration documentation for their meaning and their defaults.
Previously
vector.dimensions
and
vector.similarity_function
were required to be set; however, with
vector-2.0
indexes, this requirement has been relaxed.
vector.similarity_function
will default to
'COSINE
' if not specified, and the existence of
vector.dimensions
will ensure additional checks. This allows the
OPTIONS
map in Cypher to become optional, though it is recommended to specify the dimensionality and the similarity function. Please see the vector index documentation for details.

Cypher Fixes

Fixed an issue where the planner would look to use the text index to search for strings that are not yet initialized.

Please refer to the changelog for full details!