Chat with Multiple PDFs | LangChain App Tutorial in Python (Free LLMs and Embeddings)

TL;DR

Learn how to create a chatbot application that allows users to interact with multiple PDFs by uploading them, extracting text, and answering questions related to the contents using openAI and hugging face models.

Transcript

good morning everyone how's it going today welcome to this new video tutorial in which I'm going to show you exactly how to build this application that you see right here it is a chatbot that allows you to chat with multiple PDFs from your computer at once okay let me show you how it works and for this example I'm going to be uploading the Constitu... Read More

Key Insights

• 👤 The tutorial guides users in building a chatbot application that can handle multiple PDFs and provide informative responses.
• 🤗 Both openAI and hugging face models are demonstrated as options for embedding text and generating chatbot responses.
• 👤 The application uses a Vector Store to store and search for relevant information based on user queries.
• 🔠 User input is captured through a text input field, and the application provides formatted responses using HTML templates.

Summary & Key Takeaways

• The tutorial demonstrates how to build a chatbot that can interact with multiple PDFs.

• Users can upload PDF documents, which are processed and stored in a database.

• The chatbot can answer questions based on the content of the uploaded PDFs.