Kairntech wins European Defence Fund project

We are proud to announce that Kairntech was selected among the winning proposals under the call of the European Defence Fund (EDF) amounting to €1,031 million of EU funding. The NEMO consortium, led by Sintef AS (Norway), includes 12 partners from 8 different countries, including Kairntech for France. Over the course of this 5-year project, … Continue reading Kairntech wins European Defence Fund project

Using Kairntech RAG to analyse large Volumes of Email Data

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

(Webinar) Question-answering on internal documents (RAG)

We are pleased to share the recording of our webinar we held on April 4, 2024. https://youtu.be/OWlpMxB0cK0 Use case: Exploiting the Enron e-mail corpus During this product update webinar we show firstly the perspective of an end-user using the Enron e-mail corpus as an example:👉 Ask a question or select from pre-configured questions (convenient for … Continue reading (Webinar) Question-answering on internal documents (RAG)

(Webinar) I am asking the questions – my documents answer

Kairntech delivered a new DGI Webinar on Feb 26, 2024 The advent of Large Language Models such as GPT as profoundly affected the way we access information and consume, assess and generate content. In the webinar hosted by the DGI-Info we highlight aspects of this development and emphasize what challenges need to be addressed in … Continue reading (Webinar) I am asking the questions – my documents answer

New Release (Manta)

We are very proud to present our latest release (code name "Manta") allowing you to create business value even faster with exciting new components (RAG, Whisper for Speech-to-text conversion...) and the latest Large Language Models (GPT, Llama2, Mistral...). Fast prototyping for question-answering The implementation of Retrieval Augmented Generation (RAG) framework in the platform allows you … Continue reading New Release (Manta)

(Whitepaper) Get more value out of LLMs and your own documents with RAG

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

You have questions? Make your documents answer to you!

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!

Use the power of LLMs on your own documents using Kairntech

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