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Blog
Here’s an overview of our latest blog posts on enterprise search and artificial intelligence.
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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
05.02.2016
How search engines can be expanded by means of word families
What makes a good search engine? You type a sequence of letters and the document is searched for all occurrences of this combination. This way you can quickly and easily find certain text passages within a document. For a user who wants to find out more about a particular topic or the use of a particular word, such a basic search functionality would certainly not be enough.
Blog
18.12.2015
New High Quality Search and Linguistics for iFinder5 elastic
IntraFind has long been known for high quality information retrieval. For our new product generation iFinder5 elastic we completely overhauled our core search technology consisting of our Lucene / Elasticsearch Analyzers and our Query Parser. In part 1 of this blog article I talk about advantages for the standard user and how we are able to reduce configuration efforts.
Blog
26.08.2015
Language Identification and Language Chunking
Identifying the language of a given text is a crucial preprocessing step for almost all text analysis methods. It is considered as a solved problem since more than 20 years. Available solutions build on the simple observation that for all languages typical letter sequences (letter n-grams) exist, that occur significantly more frequent in this language than in other languages.
Blog
07.07.2015
The difference between stemming and lemmatization
"Stemming" as well as "Lemmatization" are commonly used buzzwords in the field of Information Retrieval (IR), particularly in the development of powerful search engines. [...]
So what exactly is the difference between these two methods? What are the advantages and disadvantages and which one should be preferred? [...]
So what exactly is the difference between these two methods? What are the advantages and disadvantages and which one should be preferred? [...]
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