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RAG Time: A Guide to Mastering Retrieval-Augmented Generation

2025年3月1日 18:13

I found the AI - Azure AI services Blog to be excellent, so I have summarized it here.

RAG Time will be broadcast on Microsoft Developer every Wednesday at 9:00 AM (PT) from March 5th to April 2nd.
Don't miss out on hands-on demos, practical insights, and best practices for RAG.

RAG Time is a new AI learning series designed to unlock the full potential of Retrieval-Augmented Generation (RAG).
If you are looking for ways to build smarter and more efficient AI systems, join RAG Time, airing on the Microsoft Developer YouTube channel every Wednesday at 9:00 AM (PT) from March 5th to April 2nd.

What is RAG Time?

RAG Time is a five-part learning program with new videos and blog posts released every Wednesday in March.
The series features the following:

🔥 Expert-led discussions that clearly explain the basic concepts and best practices of RAG.
🎤 Exclusive interviews with AI leaders.
⚡ Hands-on demos and real-world examples showing how RAG works.
🎨 Creative doodle summaries that break down complex concepts into easy-to-understand visuals.
🛠 Samples and resources provided in the RAG Time repository to help you start developing immediately.

What you will learn

This series consists of five learning parts, each covering key elements of AI utilizing RAG.

📌 March 5, 9:00 AM (PT) - Journey 1: Fundamentals of RAG and Knowledge Retrieval
Start with the basics.
Learn how RAG, search indexes, and vector search work together to build smarter AI retrieval systems.

📌 March 12, 9:00 AM (PT) - Journey 2: Building the Ultimate Retrieval System for RAG
Refine how AI retrieves the most relevant information by leveraging hybrid search, semantic ranking, and relevance tuning.

📌 March 19, 9:00 AM (PT) - Journey 3: Optimizing Vector Indexes for Scale
Learn how to efficiently scale vector search, optimize storage, and implement advanced techniques like quantization and Matryoshka learning for large-scale AI applications.

📌 March 26, 9:00 AM (PT) - Journey 4: RAG for All Data: Multimodal and Beyond
Go beyond text-based retrieval.
Discover how to integrate images, audio, and structured data into your RAG workflow, and leverage multimodal pipelines to unlock next-generation AI capabilities.

📌 April 2, 9:00 AM (PT) - Journey 5: Hero Use Cases for RAG
Explore real-world deployment cases, industry-leading examples, and best practices, while deepening your understanding of responsible AI to aim for ethical and impactful solutions.

Why you should watch

If you are a developer, data scientist, or AI enthusiast, this series is for you.
Whether you are a beginner or someone looking to master enterprise-grade retrieval systems, RAG Time provides practical knowledge, hands-on resources, and expert insights to help you stay ahead of the latest trends.

The journey starts here 🚀

Get started with the RAG Time repository ( https://aka.ms/rag-time ). This repository contains all the information, samples, and documentation for the video series.