New features of Mindbreeze InSpire 25.2 Release
Are you interested in the highlights of the Mindbreeze InSpire 25.2 release? Learn more in the following blog post!
Native and seamless transition between Insight Services Administration and Insight App Visualization
Mindbreeze enables with the Mindbreeze InSpire 25.2 release the native and seamless transition between the comprehensive Insight Services Administration and detailed Visualization through Insight Apps. Administrators can now select the RAG pipeline to be used for their AI Answers. This enables users to create a chat-like user interface in their Insight Apps to find relevant and rights-checked information by chatting with documents or teamrooms.
Administrators now select the desired RAG pipeline in the Insight App Designer and define the pipeline in the setting “Pipeline selection” with the Pipeline Key or Pipeline ID.
Continuous chat message abstraction available in Insight Services for RAG
With the Mindbreeze InSpire 25.2 release, Mindbreeze customers get a fundamentally new possibility for editing their RAG pipelines. Instead of interacting with the Large Language Model (LLM) in text form, the generation part of the RAG pipeline can now be edited natively with messages. This also makes it easier to edit the LLM. With this, Mindbreeze InSpire creates the basis for implementing Tool Calling and multimodal RAG pipelines (see graphic) in future releases and making them available to customers.
Administrators can now focus on the content of the prompt, while the necessary prompt structure is automatically provided.
Detailed information on all innovations can be found in our release notes.
Contact our experts for further information.
Latest Blogs
Employee-Centric Knowledge Enablement: Bringing Answers To People (Not The Other Way Around)
The digital workplace is awash in noise. Employees aren't starved for information—they're drowning in it. One way to deal with this influx of information is through context-aware knowledge experiences embedded directly in collaboration tools.
From Prompt Engineers to Context Engineers: The New Talent Imperative
In the race to master generative AI, "prompt engineering" became the buzzword of the year. Everyone wanted a perfect way to communicate with machines. However, as the hype fades, a more profound truth is emerging: it's not what you ask of AI, but what it knows when you ask it.