๐ค This video is about creating a question answering PDF chatbot using LangChain, OpenAI, Panel, and HuggingFace.
๐ก The process involves uploading a PDF file, setting up OpenAI API, and entering questions to get answers.
๐ The chatbot can provide relevant information from the PDF and return the answer along with source text chunks.
๐ The video demonstrates how to build a question answering PDF chatbot using LangChain, OpenAI, Panel, and HuggingFace.
โ๏ธ The process involves selecting a PDF file, entering a password, and setting up widgets for the prompt, run button, advanced settings, chain type, and number of chunks.
๐ The chatbot can be customized using different widgets and is runnable on the web using Pile Died and Pi script.
๐ The video demonstrates how to build a question answering PDF chatbot using LangChain, OpenAI, Panel, and HuggingFace.
๐ก The five steps for building the chatbot include understanding widgets, defining a question answering function, splitting documents into chunks, creating vector stores, and using the retriever interface.
๐ The function takes input from a PDF loader, allows for different file types, performs a similarity search, and utilizes a language model to answer questions.
๐ The video explains the process of building a question answering PDF chatbot using LangChain, OpenAI, Panel, and HuggingFace.
๐ผ The transcription mentions the steps involved in integrating the question answering function into the chatbot interface and saving the chat history.
๐ป The speaker also covers the process of defining the OpenAI API key, saving the PDF file, and running the question answering function with the selected file and prompt text.
๐ฆ The video discusses the process of building a question answering PDF chatbot using LangChain, OpenAI, Panel, and HuggingFace.
๐ก The steps involved in building the chatbot include defining widgets, creating a question answering function, creating a panel object, and binding the run button with the QA result function.
๐ The chatbot allows users to input questions and receive relevant answers from a language model using the source text from multiple documents.
๐ก The video demonstrates the process of building a question answering PDF chatbot using LangChain, OpenAI, Panel, and HuggingFace.
๐ป The five steps involved in creating the chatbot are: setting up the widget box, defining the layout with Markdown, adding necessary widgets and API keys, serving the app, and deploying the app to a hosting platform.
๐ฆ The video also provides information on the required packages and the file structure, including the requirements.txt file and the Notebook file.
โจ The video demonstrates the 5 steps to build a question answering PDF chatbot using LangChain, OpenAI, Panel, and HuggingFace.
๐ป The Docker file is used to set up the environment, install necessary packages, and copy the code into the working directory.
๐ The panel app runs the chatbot on a specified address and port, allowing users to interact with it through a separate page.
Why New Music Sucks
ูุนู ูุจูู ุนุธูู ูุจู ููุงู ุงูููู
Vaccines and Autism: A Measured Response
How Does The Periodic Table Work | Properties of Matter | Chemistry | FuseSchool
100 English Questions with Rebecca Nour | English Interview with Answers
4 No-Face YouTube Channels That Can Make You $300/Day (Real Examples)