Blog

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.

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.

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.

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.