RAG Time: Ultimate Guide to Mastering RAG!

RAG Time is a brand-new AI learning series designed to help developers unlock the full potential of Retrieval-Augmented Generation (RAG). If you’ve been looking for a way to build smarter, more efficient AI systems—join us in RAG Time, every Wednesday 9AM PT from March 5 through April 2 on Microsoft Developer YouTube.

What's in RAG Time?

RAG Time is a five-part learning journey, with new videos and blog posts releasing every week in March. The series features:

🔥 Expert-led discussions breaking down RAG fundamentals and best practices

🎤 Exclusive leadership interviews with AI leaders

⚡ Hands-on demos & real-world case studies showing RAG in action

🎨 Creative doodle summaries making complex concepts easier to grasp and remember

🛠 Samples & resources in the RAG Time repository so you can start building today

What You’ll Learn

The series is structured into five learning journeys, each tackling a crucial aspect of RAG-powered AI:

📌 March 5th, 9AM PT - Journey 1: RAG and Knowledge Retrieval Fundamentals – Start with the basics! Learn how RAG, search indexing, and vector search work together to create smarter AI retrieval systems.

📌 March 12th, 9AM PT - Journey 2: Build the Ultimate Retrieval System for RAG – Go beyond the fundamentals with hybrid search, semantic ranking, and relevance tuning to refine how AI retrieves the most relevant information.

📌 March 19th, 9AM PT - Journey 3: Optimize Your Vector Index for Scale – Learn how to scale vector search efficiently, optimize storage, and implement advanced techniques like quantization and Matryoshka learning for large-scale AI applications.

📌 March 26th, 9AM PT - Journey 4: RAG for All Your Data: Multimodal and Beyond – Move beyond text-based retrieval! Discover how to integrate images, audio, and structured data into your RAG workflows and leverage multimodal pipelines for next-level AI capabilities.

📌 April 2nd, 9AM PT - Journey 5: Hero Use Cases for RAG  – Explore real-world implementations, industry-leading examples, and best practices, while diving into Responsible AI considerations to ensure ethical and impactful solutions.

Why You Should Watch

If you're a developer, data scientist, or AI enthusiast, this series is built for you! Whether you’re just getting started or looking to master enterprise-grade retrieval systems, RAG Time delivers practical knowledge, hands-on resources, and expert insights to help you stay ahead.

Journey starts here 🚀

Start your journey from the RAG Time repo: https://aka.ms/rag-time.

You'll find all the information about the video series, samples, documentation and doodles in the repo! Share your experience and feedback on GitHub discussions.