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An increasing number of organizations are looking to use generative AI to interact with their own data, expecting it to significantly boost efficiency. After conducting research, they have determined that Retrieval-Augmented Generation (RAG) is the best solution. This raises the classic “make or buy” question for IT departments - should they set up the system themselves or purchase an external solution? This blog provides some food for thought for a successful implementation.

Generative artificial intelligence (AI) is transforming the world of work. New approaches and innovations ensure that companies can organize their processes more efficiently and use AI applications more widely. In this blog, we highlight key trends that play an important role in the AI-based enterprise search and chat world.

In times of shortage of skilled labour and demographic change, effective knowledge management is becoming a strategic priority for companies and public authorities. For knowledge managers and IT managers, it is not only important to secure expertise, but also to make it intelligently available. Enterprise search has long played a central role here - and now, with the integration of generative AI, completely new possibilities are opening.

What makes a good enterprise search? It ensures that users quickly find the information they need for their work. To retrieve truly relevant information from large, diverse data sources, it is crucial that the search takes context into account. This is also the basis for obtaining helpful results from generative AI.