Optimizing Operations with Generative AI Chatbot
Case study: creating a generative AI chatbot to enhance operational efficiency by providing access to diverse company data sources and generating context-aware responses.
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A smart chatbot solution for AI-driven operational excellence
A long-standing client commissioned Grape Up to develop a chatbot using advanced generative AI LLMs technology to enhance their daily operations by answering questions regarding customers. The project focused on integrating the chatbot with diverse data sources:
- Files sorted by topics with an intricate permissions system,
- Relational databases containing detailed company and project information,
- Internal databases such as Jira, Confluence, and SAP.
The goal was to create a system where the chatbot not only retrieves information but understands the context of user queries, all through a user-friendly interface that is accessible company-wide. The chatbot’s vector search mechanism was specially designed to align with user permissions and authorization, ensuring secure and relevant data retrieval.
The outcome was a knowledge access tool adept at generating context-aware responses by analyzing user files, databases, and broad knowledge bases. This solution marked a leap towards an AI-enhanced operational framework, revolutionizing how the company engages with its data.
Custom enterprise-level GenAI chatbot development
See how we can help you build a GenAI Chatbot that enhances your company’s knowledge discovery! Reach out to us and book a consultation.
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