📚Upload multiple PDFs and chat with them using the chatbot application.
🔍Ask questions about the specific content of the uploaded PDFs and get accurate answers.
💡Use OpenAI and Hugging Face models to build the chatbot application.
🎥Follow the step-by-step tutorial to learn how to build the application.
💻Use Python 3.9 and install the necessary dependencies to create the application.
Can I upload multiple PDFs at once?
—Yes, you can upload multiple PDFs to the chatbot application.
How does the chatbot answer questions about the PDFs?
—The chatbot uses OpenAI and Hugging Face models to analyze the content of the PDFs and provide accurate answers based on the specific documents.
Are there any costs associated with using OpenAI and Hugging Face models?
—No, the tutorial will guide you on how to use the models without incurring any costs.
What programming language and dependencies are required to build the application?
—The application is built using Python 3.9 and requires the installation of certain dependencies, which will be covered in the tutorial.
Is there a step-by-step tutorial available for building the application?
—Yes, the video tutorial provides a detailed step-by-step guide on building the chatbot application.
00:00Introduction to building a chatbot application that interacts with multiple PDFs.
01:32Demonstration of uploading PDFs and processing them to embed in the database.
03:42Overview of the application's graphical user interface (GUI).
06:14Steps to set up API keys for OpenAI and Hugging Face.
10:59Explanation of the process of dividing PDFs into chunks of text.
13:40Overview of embeddings and how they represent the meaning of text.
11:56Demonstration of storing embeddings in a vector store or knowledge base.
14:06Conclusion and reminder to follow the step-by-step tutorial to build the chatbot application.
