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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.
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LINKS:
Getting Started with Groq: • Getting Started with G...
How to chunk: • LangChain: How to Prop...
Code: github.com/Pro...
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
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Everything LangChain: • LangChain
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Everything Midjourney: • MidJourney Tutorials
AI Image Generation: • AI Image Generation Tu...