Hi Ben,
To enable end users to upload files and interact with your AI bot based on their content, you need to implement a file upload functionality within your chatbot interface. This can be achieved by adding a file attachment button on the frontend, allowing users to upload .txt, .pdf, or .docx files. The backend, typically built using Flask or a similar framework, should handle file processing by extracting text and passing it to an AI model such as Azure OpenAI or Azure Cognitive Services for analysis. Once the file is uploaded, its contents can be read and either summarized or used to answer user queries. If the document is large, it may require chunking before processing to ensure efficiency. For enhanced functionality, you can integrate Azure Blob Storage to store uploaded files securely and use Retrieval-Augmented Generation (RAG) for better contextual understanding. The AI model, such as gpt-4-turbo from Azure OpenAI, can then generate responses based on user queries related to the document.
I hope this information helps.