Creating a knowledge-retrieval assistant application
In this first recipe, we will build an intelligent application that analyzes an uploaded PDF document and answers questions about it that the user poses. This can have several use cases, such as aiding in academic research by quickly summarizing key points, assisting legal professionals in extracting specific information from lengthy documents, or aiding businesses in understanding technical reports.
The application will leverage the OpenAI API’s NLP capabilities to interpret the content of the PDF and provide accurate, context-aware responses. This not only streamlines the process of information retrieval but also enhances user engagement by offering interactive, AI-driven insights.
The example that we will follow is one where we upload the following instructional manual about a drone, and we want to ask questions such as what is the maximum height I can fly this drone?
and How do I recharge the drone battery?
. The...