Release Date: 30 June 2026

The Neo4j Aura June release has started to roll out, commencing on AuraDB Free and progressing to higher tiers later.   

Release Note for Neo4j 2026.06

 

Cypher 25 Features

  • CALL { … } IN CONCURRENT TRANSACTIONS now supports DISJOINT BY  a deadlock prevention mechanism that eliminates lock contention in parallel write workloads natively. High concurrency ingestion, particularly when merging nodes with unique constraints or creating relationships, has always been vulnerable to deadlock, as parallel threads compete for the same locks simultaneously. DISJOINT BY resolves contention at scheduling time, before any transaction is attempted. See the Cypher Manual -> Batch scheduling and deadlock prevention with DISJOINT BY
  • GRAPH TYPE moves from public preview to GA in this release. You can now define, enforce, and validate your graph schema at the database level in production workloads with the stability guarantees that come with a fully supported feature. See the Cypher Manual -> Graph types.
  • Extend SHOW CURRENT GRAPH TYPE to be able to return lists of virtual nodes and relationships representing the graph type (similar in format to the output of db.schema.visualization()) instead of the current string representation. To get the graph version of the command, use SHOW CURRENT GRAPH TYPE AS GRAPH. See the Cypher Manual -> SHOW CURRENT GRAPH TYPE AS GRAPH.
  • For customers using Change Data Capture (CDC), we have added a txCommitTime column to db.cdc.current() procedure. This update allows clients to conveniently identify the commit time of their most recent transaction alongside the transaction identifier.
  • Vector SEARCH queries now support IN for filtering, allowing queries like:

MATCH (movie:Movie)

        SEARCH movie IN (

          VECTOR INDEX moviePlots

          FOR $queryVector

          WHERE movie.genre IN [“Horror”, “SciFi”]

          LIMIT $topK

        )

RETURN movie.title AS title, movie.rating AS rating

See the Cypher Manual -> Predicates for vector search with filters.  

Other relevant updates

  • Preview feature: an improved vector search that uses our new Hi-Fidelity Quantized Vector Search method. HFQ performs an initial expanded search on the quantized vectors, then re-ranks the results using the full precision vectors. This should make queries faster, reduce memory requirements, and increase recall accuracy when compared to the previous default quantized vector index.HFQ adds the following options to CREATE VECTOR INDEX, vector.quantization.type and vector.default_search_expansion_factor. To try the preview of HFQ: 

CREATE VECTOR INDEX moviePlots IF NOT EXISTS

FOR (m:Movie)

ON m.embedding

OPTIONS { indexConfig: {

  `vector.quantization.type`: ‘binary’,

`vector.default_search_expansion_factor`: 2.0,

`vector.dimensions`: 1536,

  `vector.similarity_function`: ‘cosine’,

}}

HFQ requires an index re-build and is expected to be GA in the next release. 

 

Aura Graph Analytics (AGA)

Security

  • Upgraded netty to version 4.2.15.Final in order to resolve several CVEs
 

Bug fixes

  • Fixed a bug that allowed cached pages to exceed the configured limit.
  • Fixed a bug where outbound network chunks for secondaries were not flushed properly. This could lead to a buffer overflow in the outbound.
  • Fixed a bug in the pipelined runtime where an OR EXISTS subquery containing ordering could silently drop a result row:

MATCH (c:Customer) WHERE c.vipStatus = true OR EXISTS { MATCH (c)-[:PLACED]->(o:Order) RETURN o ORDER BY o.total DESC } RETURN c.name

  • Fixed a record format bug where undirected scans of multiple relationship types omitted sibling relationships, resulting in a ~50% undercount in the output.
  • Fixed an issue that let a User Defined Function (UDF) be defined as part of a Property-Based Access Control (PBAC) privilege. This isn’t supported and wouldn’t have worked as a user might have expected.  
For full details of database changes, see the changelog. For Aura platform and feature updates, see the Aura changelog. For all other Neo4j product and service updates, see Neo4j Release Notes.  

Deprecations