L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
This is a step-by-step guide on building a powerful Q&A application using Retrieval-Augmented Generation (RAG), LangChain, and open-source Language Learning Models (LLMs)! In this video, we'll walk you through the entire process of creating a sophisticated question-and-answer system that leverages cutting-edge AI technology.
📥 Download the complete source code:
🔗 GitHub: https://github.com/codewithaarohi/Gen...
🌐 Website: https://codewithaarohi.ai/downloads/g...
Both links contain the exact code used in this tutorial.
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In this video, you'll learn:
What Retrieval-Augmented Generation (RAG) is and how it enhances Q&A systems.
How to set up and use LangChain to connect various components seamlessly.
How to integrate open-source LLMs to build a robust and efficient Q&A app.
Step-by-step instructions and code examples to help you follow along.
If you have any questions or need further assistance, feel free to leave a comment below.