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Blog
Here’s an overview of our latest blog posts on enterprise search and artificial intelligence.
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Use knowledge productively with enterprise search and generative AI
01/27/2026
Organizations face the challenge of making ever-growing amounts of information from many systems quickly, securely, and with the right context. At the same time, content should not only be found but also understood and put to productive use. The AI software trio from IntraFind – iFinder, iAssistant, and iHub – addresses precisely these requirements and supports companies and public authorities in using knowledge efficiently and integrating generative AI securely into their everyday work.
Blog
26.05.2025
AI in onboarding: How a digital assistant simplifies staff integration in public administration
In the coming years, a significant proportion of employees in most public authorities will retire. This makes it all the more important for the administration to recruit new staff in a timely manner and to quickly equip them with the knowledge they need for their day-to-day work. AI-supported induction assistants such as the iAssistant from IntraFind are a forward-looking solution for this.
Blog
07.05.2025
RAG is dead - or is it?
Retrieval-Augmented Generation (RAG) was introduced to address the limitations of LLMs. But with larger context windows and improved training methods, some claim RAG is becoming obsolete. In this blog post, we explore the latest developments and explain why RAG is far from dead.
Blog
28.04.2025
Cyber Resilience Act: How companies can prepare early and effectively
From 2027, the EU’s Cyber Resilience Act will require companies to regularly demonstrate the cybersecurity of their digital products — a major challenge for many businesses. IT consultancy blueheads and enterprise search provider IntraFind show how manufacturers can prepare for these new requirements in a structured and timely way.
Blog
06.03.2025
Which LLM is the right one? A guide for companies
Generative AI opens up many new opportunities for companies and authorities, but selecting the right large language model (LLM) can be challenging. Factors such as model size, language support, cost, and security all play a crucial role in the decision-making process. In this blog, we explain what is important when making a choice.
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