Скачать с ютуб Chat with Multiple PDFs | LangChain App Tutorial in Python (Free LLMs and Embeddings) в хорошем качестве

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

In this video you will learn to create a Langchain App to chat with multiple PDF files using the ChatGPT API and Huggingface Language Models. Welcome to our comprehensive step-by-step tutorial on building a powerful chatbot that allows you to ask questions about your multiple PDFs using LangChain and ChatGPT API. In this project-based video tutorial, we will guide you through the process of harnessing the capabilities of LangChain, a cutting-edge framework for developing language model-powered applications. ----------------------- USEFUL LINKS 👉 Github repo: https://github.com/alejandro-ao/ask-m... 💬 Join the Discord Help Server - https://link.alejandro-ao.com/HrFKZn ❤️ Buy me a coffee... or a beer (thanks): https://link.alejandro-ao.com/l83gNq ✉️ Join the mail list: https://link.alejandro-ao.com/AIIguB -------------------------- Powered by ChatGPT, an advanced AI language model, our chatbot implementation enables you to interact with your PDF documents in a whole new way. We will also explore the utilization of Huggingface language models to enhance the chatbot's performance. Throughout this Python tutorial, you'll learn how to integrate LangChain into your application, leveraging its data-awareness and agentic features, allowing your language model to tap into various data sources and interact with its environment seamlessly. Key Topics Covered: - Introduction to LangChain and its principles of data awareness and agency - Exploring the capabilities of ChatGPT API and its potential for artificial intelligence applications - Step-by-step walkthrough on setting up the LangChain framework in Python - Integration of Huggingface language models for enhanced chatbot functionality - Building a project-based chatbot application that answers questions based on your PDFs - Optimizing your chatbot for efficient and accurate responses - Best practices for leveraging open-source GPT models, including GPT-3.5 and GPT-4 - Unlocking the potential of ChatGPT and LangChain to create innovative applications Whether you're a developer, AI enthusiast, or simply curious about the world of artificial intelligence, this tutorial is perfect for you. Join us on this exciting journey to develop your very own PDF-powered chatbot using LangChain, ChatGPT API, and the power of Python. ------------------------------------------------------------------------------ TIMESTAMPS 0:00 Intro 1:31 Setup 3:26 Create GUI 8:50 Add your API Keys 11:46 How this works (Diagram) 16:41 Handle process button 19:43 Extract text from PDFs 24:33 Split text into Chunks 29:26 Embedings 32:30 OpenAI Embeddings 36:24 Instructor Embeddings 40:57 Create ConversationChain 46:18 Make conversation persistent 50:14 HTML templates 55:04 Display Chat History 1:02:05 Free Huggingface LLM 1:06:10 Conclusion Keywords: #ChatGPT #streamlit #langchain #OpenAI