# May 2025
URL: https://docs.datarobot.com/en/docs/release/cloud-history/2025-announce/may2025-announce.html

> Read about DataRobot's new features, released in April 2025.

# May 2025

## May SaaS feature announcements

May 2025

This page provides announcements of newly released features in May 2025, available in DataRobot's SaaS multi-tenant AI Platform, with links to additional resources. From the release center, you can also access past announcements and [Self-Managed AI Platform release notes](https://docs.datarobot.com/en/docs/release/archive-release-notes/index.html).

## May features

The following table lists each new feature:

### Applications

#### In-app walkthrough added for application templates

For trial users, a lightweight, in-app walkthrough has been added for application templates. This walkthrough guides you through the selection and initial configuration of an application template. You can access the walkthrough by clicking Browse application templates in Workbench.

### GenAI

#### New versions of Gemini released; Bison retired

With this deployment, Gemini 1.5 Pro version v001 and Gemini 1.5 Flash v001 have been replaced, in both cases, with version 002. On May 24, 2025, v001 was permanently disabled. On September 24, 2025 both Gemini 1.5 Pro v002 and Gemini 1.5 Flash v002 will be retired. If an LLM blueprint is in the playground, it has been automatically switched to v002. If you have a registered model or deployment that uses v001, you must re-send the LLM blueprint to the [Registry’s workshop and redeploy it](https://docs.datarobot.com/en/docs/agentic-ai/playground-tools/deploy-llm.html) to start using v002. Alternatively, if using the [Bolt-on Governance API](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/genai-chat-completion-api.html) for inference, specify `gemini-1.5-flash-002` / `gemini-1.5-pro-002` as the model ID in the inference request without redeploying the LLM blueprint.

Additionally, Google Bison has been retired. See the full list of [LLM availability](https://docs.datarobot.com/en/docs/reference/gen-ai-ref/llm-availability.html) in DataRobot, with links to creator documentation, for assistance in choosing a replacement embedding model.

#### Use the DataRobot LLM gateway

Now available as a premium feature, the DataRobot LLM gateway service provides a DataRobot API endpoint to interface with LLMs hosted by external LLM providers. To request LLM responses from the DataRobot LLM gateway, you can use any API client that supports OpenAI-compatible chat completion API, for example, the [OpenAI Python API library](https://github.com/openai/openai-python). To use this service, learn how to [make requests to the DataRobot LLM gateway in your code](https://docs.datarobot.com/en/docs/agentic-ai/genai-code/dr-llm-gateway.html). Or, in a [text generation custom model from the playground](https://docs.datarobot.com/en/docs/agentic-ai/playground-tools/deploy-llm.html), provide the `ENABLE_LLM_GATEWAY_INFERENCE` runtime parameter, set to `True`, to use the gateway for that model.

### Data

#### Mongo-based search in the AI Catalog

The AI Catalog now uses mongo-based search for security and performance improvements. Previously, the AI Catalog used Elasticsearch.

### Platform

#### NextGen is now the default landing page

The NextGen homepage is now the default landing page when accessing `app.datarobot.com`. However, when you request a specific page, for example `app.datarobot.com/projects/123abc/models`, you will be brought to the requested page. You can make DataRobot Classic the default page instead of NextGen by selecting User settings > System and disabling the toggle.

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