How Cairn SophIA promotes the discovery of scientific content
Discover how the reference platform for Humanities and Social Sciences integrates Kairntech’s AI to facilitate the discovery of scientific content through natural language questions.
analyzed
social sciences
and sovereign
Natural language query analysis — response in < 2 seconds, verifiable sources in one click.
Three breakthroughs that transform research.
Sovereignty & Author Protection
Faced with the rise of generative AI, Cairn SophIA ensures that content is not sent to a foreign cloud. Hosted entirely in France, no data passes through a third-party LLM.
Zero hallucinations, clickable sources
The AI only responds using the validated Cairn.info corpus. Each answer is anchored to the specific paragraph of the source article.
Augmented research, not replaced
No more keyword searching that returns 400 unranked results. Cairn SophIA synthesizes, contextualizes, and prioritizes information from 1.2M+ articles in seconds.
Voices from those who use it.
Kairntech’s AI allows readers to discover our French-language scientific content through highly accurate natural language search, while fully respecting copyright and textual integrity. This responsible approach aligns with our values and strengthens our mission in the service of teaching critical thinking.
Figures, method, results.
The full case study,
free and ready to access.
Discover in detail how Cairn.info deployed Cairn SophIA: technical architecture, solution design, user scenarios, and key differentiators.
- The sovereign RAG architecture behind Cairn SophIA
- User scenarios and built-in anti-hallucination approach
- Key differentiators: sovereignty, copyright, energy efficiency
- Kairntech Studio: no-code NLP pipeline configuration
8M+ segments
We are here to help
A Document Q&A solves the knowledge accessibility, accuracy, and efficiency challenges faced by businesses:
- Access to real-time, up-to-date information
- Efficient Knowledge Management & reduced employee search time
- Improved customer support & self-service
- Handling domain-specific & proprietary (and confidential!) data
- Reducing AI hallucinations & inaccurate responses
- Cost-effective scalability for enterprise knowledge
- Compliance & audit-friendly responses (sourced responses)
The Document Q&A can pull data from structured (databases, FAQs, manuals) and unstructured (PDFs, emails, news, medical records, audio, scientific articles, patents…) sources. Businesses should ensure data is clean and compliant with privacy regulations (e.g., GDPR).
The Document Q&A should integrate via APIs with SharePoint, CMS/DAM repository, CRM (e.g., Salesforce), helpdesk (e.g., Zendesk), or internal databases. This ensures seamless access to real-time data and improves workflow automation.
Key metrics include:
- Time savings on specific tasks (faster responses, text génération…)
- Accuracy (correct responses – that could be improved via user feedback)
- Engagement (number of users and queries handled)
- Cost savings (reduced human agent workload)
There are different ways to maintain and improved Document Q&A over time:
- Regularly benchmark LLMs to select the most suitable one for the task
- Regular updates based on user feedback
- Monitoring performance logs are essential. A feedback loop with human agents can help refine responses and expand the knowledge base.
Ready to turn your documents into instant answers?
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