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Release Notes: 3.4 Early Access (EA1)
Chapter 2. New features and enhancements

Chapter 2. New features and enhancements

This section describes new features and enhancements in Red Hat OpenShift AI 3.4 EA1.

2.1. New features
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Workbench and runtime images default to Red Hat Python index: Workbench and runtime images default to the Red Hat Python index. When you install or update Python packages, packages are pulled from the Red Hat Python index rather than PyPI. This provides you with Red Hat built and supported Python packages.

Garak evaluation provider available in Llama Stack distribution: The Garak evaluation provider is available in the Llama Stack distribution. Garak provides security scanning capabilities for large language models to help identify potential vulnerabilities and safety issues. The provider is available in two versions: an inline version that runs scans in the same process as the Llama Stack server, and a remote version that runs scans by using Kubeflow Pipelines.

PostgreSQL database support for Model Registry: You can configure a PostgreSQL database as the backend for Model Registry from the OpenShift AI dashboard.

Default database solution for Model Registry: Model Registry includes a default database solution for testing. Use this solution to start using Model Registry without configuring an external database.
Note
The default database is not intended for production workloads.

2.2. Enhancements
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Hybrid search support for Qdrant remote vector database provider: Vector Store Search supports hybrid and keyword search for the Qdrant Vector IO provider.

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