SophIA, an AI-Powered Content Discovery Hub

Cairn.info

cairn-info-portal

Discover French science with AI that respects copyright

How does Kairntech Document Q&A work?

1


Prototype quickly


Uploaded documents are indexed, segmented and vectorized automatically.
Start asking questions straight away!

2


Customize extensively


Experiment with document metadata, search methods, embedding models, retrievers, LLM prompts and much more!

3


Integrate & Maintain


Use our REST API to embed within your existing application, implement feedback loops to improve accuracy over time

100% secured, 100% transparent

GDPR

All our data storage systems take into account the constraints of the GDPR.

Access

Manage fine-grained access rights to facilitate access to multiple stakeholders.

Hosting

In the cloud or on-premise, choose the mode that best suits your organization.

They trust us

  • “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.”
    Jean-Baptiste de Vathaire
    Chief Operating Officer

Can Kairntech help to build your own Document Q&A solution ?

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.