Chat with Documents is Now Crazy Fast thanks to Groq API and Streamlit

Video Description

Learn how to build an RAG pipeline with the world's fastest LLM API via Groq API. We will build an RAG application that will enable you to chat with a website and will wrap everything in a Streamlit App. 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h Signup for Advanced RAG: https://tally.so/r/3y9bb0 LINKS: Getting Started with Groq: https://youtu.be/S53BanCP14c How to chunk: https://youtu.be/n0uPzvGTFI0 Code: https://github.com/PromtEngineer/YoutTube-Tutorial.git TIMESTAMPS: [00:00] Introduction [00:39] Setting Up: Installing Packages and Importing Libraries [01:32] Designing the RAC Pipeline: From Data to Response [02075] Implementing the RAC Pipeline with Groq API [06:00] RAG with Streamlit and Groq API [10:07] Streamlit App in Action: Real-Time Responses All Interesting Videos: Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z