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Case Studies
Case Study

ChatGPT & RAG: Uniting Knowledge Management and Generative AI

We developed and implemented an AI chatbot that combines the power of generative AI with access to the internal knowledge database (RAG).

  • Industry Industry
  • Topic GenAI
  • Tools Azure OpenAI
  • Duration 4 months

Challenge

Our client, a market-leading hidden champion in the manufacturing sector, aimed to efficiently and profitably integrate generative AI and ChatGPT into their work processes.

Approach

We developed and implemented an AI system directly on the company’s own infrastructure, backed by extensive and relevant business data. The system supports the company’s specific technical language and unique applications while considering the individual preferences of the users. Additionally, it offers numerous expansion possibilities. This tailored customization ensures optimal integration and maximum efficiency in the company’s specific processes.

Results

Our chatbot AI solution combines the power of generative AI with access to the client’s internal knowledge database for maximum versatility and usability. Through modular development, we avoided vendor lock-in for our client, which guarantees the solution’s long-term flexibility and adaptability. With support for over 20 languages, the AI covers a wide range of communication requirements.

The underlying infrastructure also enables the development of various interfaces and use cases, including an internal chatbot, a generative text tool, a search endpoint on the website, and integration into customer support.

Expert

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