May 03, 2022
Imagine a virtual assistant that can answer questions from your customers or teams—not using a generic database, but trained on your own content: FAQs, internal docs, product catalogs, contracts… This is now possible with generative AI combined with RAG (Retrieval-Augmented Generation) techniques.
Why use your own data?
Traditional chatbots are often limited to rigid scenarios. By integrating your business data, you get an assistant that is:
- more relevant in its answers,
- able to understand your specific terminology,
- adaptable to your evolving needs.
How does it work?
- Document indexing: PDFs, Word files, websites, databases... your sources are transformed into semantic vectors.
- Smart retrieval: when a user asks a question, the AI first fetches the most relevant content.
- Response generation: a Large Language Model (LLM) writes the reply based on your data, in a fluent and natural style.
The result? A chatbot that answers accurately and in context, without making things up.
Use cases
- 24/7 customer support
- Internal tech assistance
- Interactive HR portal
- Legal or contract assistant
- Training and onboarding
Ready to get started?
We help you:
- Select and prepare your data sources;
- Deploy a white-label AI chatbot;
- Ensure security, confidentiality, and local hosting if needed.
