RAG (Retrieval Augmented Generation)

RAG (Retrieval Augmented Generation) is a technique that allows an AI model to consult your internal documents before responding. Instead of relying solely on its training, the AI first searches for relevant information in your knowledge base, then formulates a sourced answer. It is the most effective method for creating a reliable and accurate business chatbot.

RAG solves the main problem of AI in business: hallucinations. By grounding answers in your actual documents (procedures, contracts, product sheets), it ensures reliable responses. For an SMB, it is the key to deploying a trustworthy AI assistant that your teams and customers can use without the risk of wrong information.

We deploy RAG architectures in our chatbot and enterprise AI assistant projects. We structure your documentary data, choose the right embedding strategy, and implement necessary safeguards. Our AI training includes a RAG module so your technical teams can understand and maintain the solution.