Chatbot with SharePoint-based corporate knowledge

The project involves developing a solution that enables users to access the internal SharePoint knowledge base via natural language queries. To achieve this, relevant content is extracted from SharePoint, semantically embedded in a vector database, and made available to a large language model (LLM) for context-aware querying and response generation. The result is a user-friendly, efficient knowledge query system that significantly increases the acceptance and use of the internal knowledge base.