Use case: Forensic Data Analysis RAG (retrieval augmented generation) is one of the hottest use cases of Large Language Models (LLMs such as GPT) in a business context: It allows to analyse your own company internal information while benefitting from the power of LLMs. And all that without having to share the data with third … Continue reading Using Kairntech RAG to analyse large Volumes of Email Data
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Consortium investigates links between Covid and neurodegenerative diseases – Kairntech contributes AI / NLP capabilities Bonn, Dec 14-15. The EU Research project COMMUTE (“COMORBIDITY MECHANISMS UTILIZED IN HEALTHCARE”) has been kicked off at a two day meeting at the International Center of Information Technology (B-IT) at the University Bonn. Hosted and coordinated by the Fraunhofer … Continue reading EU Research Project COMMUTE has started
While LLMs (Large Language Models) address generic knowledge very well, it is the combination of LLMs with internal documents that delivers results that can be trusted. This so-called RAG (Retrieval Augmented Generation) approach consists of a preparation phase whereby documents are uploaded, converted, segmented, vectorized and indexed. Once a question is asked a retriever leveraging … Continue reading (Whitepaper) Get more value out of LLMs and your own documents with RAG
Kairntech Question&Answer allows you to interact in natural language with your own content. Finding answers specific question in complex documents or large collections of documents can be a cumbersome effort, despite powerful search engine technologies: Often users find themselves trying different combinations of AND and OR and exact phrase searches and so on. Still they … Continue reading You have questions? Make your documents answer to you!
Natural language questions and answers on local and confidential information Introduction Large Language Models (LLMs such as GPT) have sparked significant progress in the way, users can interact with text: they deliver impressive results on tasks such as text generation, text summarization and many other scenarios. The predominant mode of interaction with LLMs is using … Continue reading Use the power of LLMs on your own documents using Kairntech
Yet another paper on AI/NLP-powered knowledge graph creation Elsevier’s “Artificial Intelligence in the Life Sciences" is to publish another text from Fraunhofer SCAI with contributions from Kairntech about "A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs”. Lead author Negin Babaiha and her colleagues outline the architecture of … Continue reading Fraunhofer SCAI and Kairntech publish joint work about analysing scientific information
Submission successful - project to start in Dec 2023. Good news from Bruxelles: The research proposal for project COMMUTE got accepted with pretty good grades. Starting Dec 2023 Kairntech will work with a fine team of research organisations from Cambridge, Amsterdam, Barcelona and led by Martin Hofmann-Apitius from Fraunhofer SCAI in Sankt Augustin on applying … Continue reading Kairntech to contribute text2graph capabilities to EU-funded project “COMMUTE”
As reported here, Kairntech has been working together with Fraunhofer SCAI to generate Knowledge Graphs by automatic relation extraction from scientific content. The output is this project was BEL, a graph language, specifically designed for the expression of biomedical facts. Another popular format to express, store and exchange Knowledge Graphs evidently is Neo4J's Cypher: Kairntech … Continue reading Public Neo4J demo with Kairntech-powered content
The capabilities of Kairntech to support information analysis are employed in the research project AI4OI by TecIntelli and Fraunhofer IAO. As TecIntelli expert Tim Schloen declares: "In project "Artificial Intelligence 4 OpenInnovation" (AI4OI, funded by the german Bundesland Baden-Württemberg) we are using Kairntech to analyse technical and scientific literature on many different technology fields. In … Continue reading Kairntech as NLP platform in project “AI 4 Open Innovation”
Knowledge Graphs are an increasingly popular and powerful approach to organize information. They excel at the intuitiveness of the way they make complex data accessible. They also offer impressive performance allowing to address many otherwise difficult to compute tasks. Kairntech applies AI/NLP approaches to identify and structure knowledge that can be derived from text corpora. … Continue reading Kairntech and Knowledge Graphs – a strong and logical alliance