New features of Mindbreeze InSpire 25.1 Release
Find out the most important innovations of the Mindbreeze InSpire Release 25.1 in the following blog post.
Insight Services for RAG uses semantic text structures from the index for more precise answers
Mindbreeze InSpire extracts semantic text structures such as headings, paragraphs and tables from different content and maps them in the index. The extracted structures are used in the document preview, for example. The Mindbreeze InSpire 25.1 release now also enables the use of semantic structures when generating answers. The Retrieval Augmented Generation (RAG) and the Large Language Model (LLM) receive the structural information in addition to the relevant answer text excerpts to generate even more precise answers.
Customisability of the Similarity Search through embedding information
With the Mindbreeze InSpire 25.1 release, administrators can now customise the Similarity Search during indexing. This is possible by adding embedding structures in the form of content and annotations. By customising the Similarity Search, Mindbreeze users receive more precise answers to their questions.
Airbyte Data Integration Connector enables access to over 500 data sources
Mindbreeze InSpire offers a wide range of connectors to enable the indexing and use of various data sources in Insight Apps and 360-Degree views. With the Mindbreeze InSpire 25.1 release, the full flexibility of Airbyte is available with over 500 connectors. Users can significantly expand and deepen their Insight Apps and 360-Degree views with additional data. This enables further insights from company data and completely new use cases. The Airbyte Data Integration Connector supports data sources such as Instagram, PostgreSQL and Paypal Transactions. To use the connector, a self-operated Airbyte installation is required. Contact Mindbreeze Support to get access to the Airbyte Data Integration Connector. ;
Detailed information on all innovations can be found in our release notes.
Contact our experts for further information.
Latest Blogs
The C-Suite’s AI Revolution: Why 81% of Executives Are Confident in GenAI’s Future
Generative AI (GenAI) is transforming the way businesses operate today. Lot’s of companies, and people within those companies, are trying to get AI’s potential, whether they’re big or small.
Harnessing LLMs for Smarter Work: Key Takeaways from Our Conversation with Jakob Praher
The future of AI in the workplace is evolving rapidly, and Large Language Models (LLMs) are at the forefront of this transformation.