RAG using Open Source LLMs

Video Description

In this video, we will implement Retrieval Augmented Generation i.e., RAG pipeline using Open Source Large Language models with the help of Langchain and HuggingFace. Large Language Models have been the backbone of advancement in the AI domain. With the release of various Open source LLMs, the need for ChatBot-specific use cases has grown in demand. HuggingFace is the primary provider of Open Source LLMs, where the model parameters are available to the public, and anyone can use them for inference. On the other hand, Langchain is a robust, large language model framework that helps integrate AI seamlessly into your application with the help of a language model. Source Code: https://github.com/lucifertrj/Awesome-RAG Support RAG Series: https://www.buymeacoffee.com/jaintarun7 RAG Series: Part-1: https://www.youtube.com/watch?v=dUkiQ_WI92c Part-2: https://www.youtube.com/watch?v=oUQHBNVVEH4 Part-3: https://www.youtube.com/watch?v=kSVGpbqYLYs Part-4: https://www.youtube.com/watch?v=xw7t_LAqV7E Follow Me: ------------------------ Discord: https://discord.com/invite/hEMqtDXCHA Twitter: https://twitter.com/TRJ_0751 LinkedIn: https://linkedin.com/in/jaintarun75 GitHub: https://github.com/lucifertrj Instagram: https://instagram.com/aiwithtarun.ai ------------------------ Timestamps: 00:00 Introduction 00:37 Issues with Large language models 04:01 Retrieval Augmented generation 07:36 Code Implementation #art #ai #generativeai #llm #langchain #huggingface #opensource #python #largelanguagemodels