PyGridGain 1.5.0 Release Notes
New Features
PyGridGain 1.5.0 provides access to new features and improvements.
Support for Python 3.11, 3.12 and 3.13
You can now use Python 3.11, 3.12 and 3.13 to work with GridGain. Pre-built packages for Python 3.11, 3.12 and 3.13 were added into the package.
Support for Vector Search
In this release, you can create vector indexes for caches by setting index type to IndexType.VECTOR, and later use these indexes to perform vector search on the database. Below is the example of performing a vector query:
query_vector = # Get from your model cursor = cache.vector(type_name=Article.type_name, field='vector_field', clause_vector=query_vector, k=1)
SSL Disabled by Default
Starting from this release, SSL is disabled by default, and must be enabled manually.
Improvements and Fixed Issues
GG-41858 |
Updated supported Python versions to 3.9-3.12. |
GG-41069 |
Added support for VECTOR index type. |
GG-37476 |
Updated tzlocal library version to 4.3.1. |
GG-35312 |
SSL is no longer automatically enabled when authentication is used. |
Installation and Upgrade Information
To upgrade an existing package, use the following command:
pip install --upgrade pygridgainTo install the latest version of a package:
pip install pygridgainTo install a specific version:
pip install pygridgain==1.5.0Previous Releases
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Please visit the documentation for more information.
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