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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: / discord ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: / promptengineering 💼Consulting: https://calendly.com/engineerprompt/c... 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h Signup for Advanced RAG: https://tally.so/r/3y9bb0 LINKS: Getting Started with Groq: • Getting Started with Groq API | Making Nea... How to chunk: • LangChain: How to Properly Split your Chunks Code: https://github.com/PromtEngineer/Yout... 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: • LangChain Everything LLM: • Large Language Models Everything Midjourney: • MidJourney Tutorials AI Image Generation: • AI Image Generation Tutorials