Raiffeisen Switzerland builds an 'Ask your documents' RAG chat tool for employees on Azure
Raiffeisen Switzerland· SwitzerlandAzureRaiffeisen Switzerland worked with Zühlke to build an Azure-based prototype web application, 'Ask your documents', where employees ask questions in natural language and receive answers generated from company-specific documents using GPT-4 and retrieval-augmented generation, with references shown for verification. The source says it improves hit rates and answer quality compared with traditional search; it gives no figures.
Overview
Raiffeisen Switzerland worked with Zühlke to build an Azure-based prototype web application, 'Ask your documents', where employees ask questions in natural language and receive answers generated from company-specific documents using GPT-4 and retrieval-augmented generation, with references shown for verification. The source says it improves hit rates and answer quality compared with traditional search; it gives no figures.
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Inspect the highlighted sourceThe challenge
Raiffeisen Switzerland wanted to capitalise on the collective internal knowledge hidden within its extensive company-specific text database, by creating a chat solution that accurately answers employees' questions in natural language.
The solution
Zühlke's cloud and data science team developed an Azure-based prototype web application called 'Ask your documents'. Employees ask text-based questions in an interactive chat interface; answers are generated automatically from company-specific documents, with references shown for verification. It uses large language models such as GPT-4 and Retrieval-Augmented Generation (RAG).
Reported business value
According to the case study, the application lets employees retrieve information and get answers more efficiently, and improves hit rates and the general quality of answers compared with traditional search methods. No figures are given.
Sources
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