Image
Blog
Here’s an overview of our latest blog posts on enterprise search and artificial intelligence.
Image
Enterprise Search with Chatbot and RAG explained
03/25/2026
Enterprise Search makes information across companies and public-sector organizations findable. Internal chatbots and AI assistants build on this foundation to generate reliable answers and summaries from approved internal sources. This article explains how Enterprise Search and RAG work together, which use cases are most common, and what matters for security, governance, and implementation.
Blog
27.07.2018
Enterprise Search for Lawyers
Contracts are usually pages long and exist in large quantities, often unstructured in the file system or are stored in systems with poor search options. Enterprise Search applications help to make contracts intelligently searchable, to get a comprehensive overview and not to overlook anything essential.
Blog
23.04.2018
Save time and costs with machine learning
Contracts or other legal documents are usually available in large quantities and in an unstructured form. Machine learning techniques help classify them, providing a clear ROI for the business.
Blog
09.05.2016
Content Delivery of Technical Information
Even nowadays technical documentation is mostly not valued as good or useful source of information. Too many incomprehensible or unmanageable documents have shaped the past and left behind frustrated or desperate users. Not to mention experts and technicians who prefer to rather trust their experience than long texts and inappropriate illustrations.
Blog
23.02.2016
Counting counts – arguments for using statistics to process language
In this post I want to go a little deeper into Ludwig Wittgenstein's argument of "meaning is use" (Philosophical Investigations, 1953), and how it can be seen as a philosophical justification for statistical NLP, including machine learning.
Questions? We’re happy to answer them!
Have feedback or a question about a blog post?
Or would you like to learn more about a specific topic?
Or would you like to learn more about a specific topic?
