New features of Mindbreeze InSpire 25.5 Release
Want to check out the highlights of the Mindbreeze InSpire 25.5 Release? Learn more in the following blog post.
AI-based Neural Reranking – Optimized answer quality through deeper semantic matching
With the Mindbreeze InSpire 25.5 Release, Mindbreeze customers now have access to AI-based Neural Reranking through configurable Transformer Language models for optimizing answer quality. The relevance of answers to a query is redefined by configurable AI models in terms of deep semantic matching. By applying “Cross Attention,” Mindbreeze retrieves more potential answer options than originally requested and checks them for relevance according to the newly evaluated match. Based on this, the corresponding answer is generated and output. By configuring boosting rules, Mindbreeze customers can customize the new evaluation and ranking according to their use cases in addition to the initial evaluation of the answers.
Neural Reranking can be used not only for AI Answers in the Mindbreeze InSpire client, but also for Retrieval Augmented Generation (RAG) and agentic RAG use cases. This means that Mindbreeze customers not only receive high-quality content in the LLM context, but also benefit from reduced token consumption and faster answer generation. For flexible use of this optimization, it is also possible to dynamically activate Neural Reranking per request.
Mindbreeze InSpire AI chat functionalities with AI Answers available in Insight AppsPermanent link for this heading
With the Mindbreeze InSpire 25.5 Release, it is possible to use the entire functionality of Insight Services for RAG pipelines with AI Answers in Insight Apps. To this end, improvements have been made in particular with regard to consistency with other chat applications when using retrieval within the RAG pipeline. The AI Answers component has been further developed by adjusting the progress bar and optimizing the formatting of answers.
Optimized multi-turn chat conversationsPermanent link for this heading
With the Mindbreeze InSpire 25.5 Release, multi-turn chat conversations receive an optimization. Depending on the configuration and the productive RAG pipeline, the AI assistant can now access the chat history and previous conversations more comprehensively and generate an even more context-relevant answer.
Detailed information on all innovations can be found in our release notes.
Don't miss your opportunity to see a live demo of the innovations in our comprehensive "What's New"-Webinar, which covers the last three releases. Sign up here
Contact our experts for further information.
Latest Blogs
The New Collaborative Era: Humans + AI in 2026
Moving Beyond the Automation Fear NarrativeFor years, public debate around AI focused on a single question: Will machines replace human workers?But in 2026, that narrative is no longer relevant.
Why AI Trust Will Define Enterprise Leadership in 2026
AI Without Trust Is AI Without ImpactAs AI becomes deeply embedded in enterprise decision-making, scrutiny is rising. Organizations no longer ask, “Can AI generate insights?” The real question is: “Can we trust those insights enough to act on them?”