Version 2025-03 was officially released on March 10, 2025.
Below are the most important fixes and features introduced in this version.
- New LLMs:
- GPT-4.5
- Claude 3.7 Sonnet (Providers Anthropic, Vertex AI and AWS Bedrock)
- Updates in Gemini 2.0 series:
- vertex_ai/gemini-2.0-flash-lite-preview-02-05
- vertex_ai/gemini-2.0-flash-thinking-exp-01-21
- RAG Revision #6
- Support for o3-mini, gpt-4.5-preview, claude-3-7-sonnet-20250219, new DeepSeek, Gemini2* and sambanova LLM providers.
- New pinecone provider available for embeddings and rerankers.
- The CleanUp action message has been corrected to clearly specify that it will permanently delete the RAG Assistant files and update the information in the RDS.
- Added usage element on every response.
- Improvements when changing the LLM/Embeddings settings; all models and providers are normalized to be selected from standard combo-box items; use the override mechanism if you need other options.
- Support for guardrails.
- New documentAggregation property to decide how sources are grouped and returned.
- It is possible to provide feedback on the response of the Chat with Data Assistant in the Frontend.
- The new Evaluation APIs introduce key functionalities through three interconnected APIs: DataSet API, Evaluation Plan API, and Evaluation Result API. This version is primarily designed for users with a data science profile and is mainly accessed via APIs, complemented by a series of Jupyter notebooks that demonstrate their use. For a comprehensive guide on how to use these APIs, you can refer to How to evaluate an AI Assistant and the EvaluationAPITutorial.ipynb notebook, which provide practical examples and code for working through the evaluation process.
- File attachment support in Flows (version 0.9).
- Support for Full Story integration in the Workspace to generate user access statistics in Full Story.
- In the LLM API, for models that have descriptions in the specified languages, the descriptions property is included in the Response, which contains the descriptions in the available languages, such as Spanish, English and Japanese.
- Data Analyst Assistant 2.0 version presents important improvements, simplifying the interaction with the data by reducing the main components to just two: Dispatcher and Thinker. In addition, the metadata structure is automatically generated when loading the datasets, streamlining the setup process. For more information, see How to create a Data Analyst Assistant.
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The option to consult version-specific documentation is now available.
Articles with versions show the option “Other document versions” in the header. Clicking on “Other document versions” brings up a menu that allows you to choose between the most recent version (“Latest”) or earlier versions (e.g. “2025-02 or prior”). If you select a version other than “Latest”, a message appears: “This is not the latest version of this document; to access the latest version, click here”. This message provides a direct link to the most up-to-date documentation.
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Deployment Guide
- Components Version Update