MenonL-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
Generative AI Tutorials
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. GitHub: https://github.com/AarohiSingla/Generative_AI/tree/main/L-9 Email id: aarohisingla1987@gmail.com 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.
About the course
Welcome to our Generative AI playlist! This curated collection of videos explores the exciting and rapidly evolving field of Generative Artificial Intelligence. Throughout this playlist, you'll find comprehensive guides on various large language models (LLMs), including their capabilities, applications, and how to utilize them effectively. We'll also dive deep into LangChain, a powerful tool for building generative AI applications. Whether you're a beginner looking to understand the basics or an experienced developer seeking advanced insights, this playlist has something for everyone. Join us as we uncover the potential of Generative AI and learn how to leverage it for innovative solutions!
Lessons
- L-1 Generative AI for Beginners
- L-1 Generative AI for Beginners
- L 2 Ollama | Run LLMs locally
- L 2 Ollama | Run LLMs locally
- L-3 LangChain Explained | Building Generative AI Apps from Scratch
- L-3 LangChain Explained | Building Generative AI Apps from Scratch
- L-4 Step-by-Step Guide to Building a ChatGPT Clone
- L-4 Step-by-Step Guide to Building a ChatGPT Clone
- L-5 Chat with database using LangChain
- L-5 Chat with database using LangChain
- Run Llama 3.1 locally using LangChain
- Run Llama 3.1 locally using LangChain
- L-7 RAG (Retrieval Augmented Generation)
- L-7 RAG (Retrieval Augmented Generation)
- L-8 Build a Q&A App with RAG using Gemini Pro and Langchain
- L-8 Build a Q&A App with RAG using Gemini Pro and Langchain
- L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
- L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
- L-10 RAG Vs Fine-tuning
- L-10 RAG Vs Fine-tuning