RAG Time streams every Wednesday at 9 AM PT on Microsoft Developer, starting March 5 until April 2—all of the learning resources are available on GitHub.
Get ready to dive into the future of AI with RAG Time—a new, super engaging learning series designed just for you! 🎉
Join us every Wednesday at 9 AM PT from March 5 through April 2 on Microsoft Developer YouTube. RAG Time will unlock the full potential of Retrieval-Augmented Generation (RAG), helping you build smarter, more efficient AI systems.
Best part? All the learning resources are available on GitHub. So don’t miss out!
👉 Mark your calendars for RAG Time, starting March 5th. See you there!
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
Get ready to embark on an awesome learning adventure! The series is split into five exciting journeys, each covering a key 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 budding developer, an enthusiastic data scientist, or an AI aficionado, this series is perfect for you! Whether you're just starting out or aiming to master advanced retrieval systems, RAG Time offers practical knowledge, hands-on resources, and expert insights to help you stay ahead of the curve.
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.https://aka.ms/rag-time
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