rag-time and RAG-To-Know
About rag-time
microsoft/rag-time
RAG Time: A 5-week Learning Journey to Mastering RAG
This project offers a comprehensive, expert-led learning journey to help developers and AI practitioners master Retrieval-Augmented Generation (RAG). It provides step-by-step guides, live coding samples, and expert insights, taking you from foundational concepts to advanced optimization and multimodal RAG techniques. You will learn to build smarter AI applications by understanding how to integrate external knowledge into large language models.
About RAG-To-Know
CornelliusYW/RAG-To-Know
The repository explores various RAG techniques, including implementation guides, use cases, and best practices. Each article is designed to help researchers, developers, and enthusiasts understand and implement RAG systems efficiently.
This repository provides comprehensive guides and code examples to help you understand and implement Retrieval Augmented Generation (RAG) systems. It helps you take raw information and a user query to generate accurate, contextually relevant answers using various techniques. This is ideal for AI researchers, machine learning engineers, and developers working with large language models.
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