Ask questions and get answers from documents (RAG)
Business and AI teams struggle to customize and industrialize Retrieval Augmented Generation (RAG) projects.
Can Kairntech’s AI provide a solution?
Deliver business value for RAG projects faster with Kairntech AI assistants
👉 Pre-packaged technical components and models including LLMs, speech-to-text and Wikidata knowledge.
👉 A wide range of technologies throughout the RAG value chain.
👉 Accessible for business users.
Customize to gain quality
👉 Extensive range of customization options to obtain highest accuracy.
👉 Capacity to deliver value with complex use-cases.
👉 Improve retriever quality by comparing LLMs, search methodology, vectorizers and question-answer benchmarking.
👉 Embed AI pipelines easily within business applications through our rich REST API.
👉 Deploy safely on premise if required.
How does it work?
Upload your documents, create relevant snippets with off-the-shelf or custom-built segmentation pipelines
Transform document snippets into vectors with out-of-the-box contextual embedding models for high performance semantic & hybrid search
Combine the power of search and LLMs to generate well-written answers with reference to documents snippets
We are here to help
100% secured, 100% transparent
All our data storage systems take into account the constraints of the GDPR.
Manage fine-grained access rights to facilitate access to multiple stakeholders.
In the cloud or on-premise, choose the mode that best suits your organization.
They trust us
We just released our new version heavily driven by the Kairntech NLP platform for the semantic aspects with a pretty massive impact.Hugo Le Houarner – CEO – Sealk
To make the most of our content, it is essential to build high-quality AI models simply and quickly and to combine them with knowledge base.Gaëlle Recource – Head of Content – Groupe Revue Fiduciaire
Can Kairntech help building question answering application?