Generative AI and internal data valorization
Generative AI opens up new perspectives. Yet, valorizing internal data remains a major challenge. Too often, this data is scattered across information silos. Search then becomes inefficient and time-consuming. Users waste time recreating existing documents. Business expertise, meanwhile, remains difficult to access and rarely capitalized.
The limitations of current solutions
Traditional solutions quickly show their weaknesses.
Traditional chatbots rely on fixed rules and demand heavy maintenance. They do not understand context.
External cloud solutions raise issues of confidentiality and regulatory compliance. They also create vendor lock-in, with sometimes unpredictable costs.
Finally, traditional search engines are limited to keywords. They deliver raw results, without contextualization or adaptation to user profile.
The opportunity of the Nuxeo solution
The Hyland Nuxeo solution provides a solid foundation for AI. Its modern APIs, integrated document governance and granular rights management make it a robust foundation. Its connectors facilitate integration with other IT systems.
Nuxeo enables efficient management of workflows and document lifecycles, while paving the way for generative AI integration.
Understanding RAG
Classical inference relies solely on model weights, therefore on what it learned during training.
Retrieval-Augmented Generation (RAG) goes further. It enriches generation by searching for information in the company's document and application repositories. The chatbot invents nothing. It relies on your internal data to provide reliable, contextualized and always up-to-date answers.
On-premise or private IT deployment
There are now solutions allowing RAG deployment without resorting to public cloud. Data remains in your infrastructure or in a private environment, according to your own security rules.
This approach guarantees GDPR compliance and meets the requirements of regulated sectors.
By choosing on-premise or private IT deployment, you benefit from complete sovereignty and controlled costs.
Concrete use cases
RAG use cases are numerous.
In retail, it facilitates information search and generation of reliable summaries.
For document validation and tracking, it saves valuable time by automating access to useful data.
Technical and business support rely on RAG to access internal expertise directly.
Decision-making tools benefit from contextualized and actionable information. This strengthens the quality of analysis and decision-making.
In conclusion
By combining on-premise RAG and the Nuxeo solution, organizations have a powerful lever to query their information system with complete sovereignty.
An approach that restores value to internal data, accelerates decision-making and puts generative AI at the service of business use cases.
Would you like to learn more about the potential of RAG and sovereign chatbots?
Our experts are already exploring their practical applications with the Nuxeo solution.
