April 2025, Release Update 23.8
Included are some notable Oracle AI Vector Search updates with Oracle AI Database 26ai, Release Update 23.8.
Note:
If you are using RAC instances, certain features must be enabled using Oracle RAC two-stage rolling updates to ensure that any patches are enabled on all nodes. For more information, see Oracle Real Application Clusters Administration and Deployment Guide.
Feature | Description |
---|---|
Custom JavaScript Distance Function |
In addition to the availability of built-in vector distance functions, you can now create your own custom distance function. The Multilingual Engine (MLE) is used to create a JavaScript function that defines the distance operation of your choice. The custom distance function can be used in similarity searches and in the creation of HNSW vector indexes. |
Automatic Vector Pool sizing with on-premises deployments |
The vector memory pool can be configured to dynamically grow to meet the sizing needs for creating HNSW indexes. This is now supported for both Oracle Autonomous AI Databases and non-Autonomous AI databases. |
SPARSE support in PL/SQL
|
PL/SQL now natively supports the creation and declaration
of If using RAC instances, you must enable Patch 37535524 using Oracle RAC two-stage rolling updates. |
New table function:
DBMS_HYBRID_VECTOR.SEARCHPIPELINE |
In addition to the existing
|
New function:
DBMS_HYBRID_VECTOR.GET_SQL |
|
FILTER_BY support in
DBMS_HYBRID_VECTOR.SEARCH |
A |
Using JSON in Included Columns with IVF Indexes |
Restrictions have been removed on JSON,
|
Parent topic: Oracle AI Database 26ai Release Updates