Rag-Time

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rag-time is a Research & Education tool that provides a 5-week learning journey to master Retrieval-Augmented Generation (RAG). It offers step-by-step guides, live coding samples, and expert insights to build smarter AI applications.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is rag-time?

RAG Time is a comprehensive 5-week learning journey designed to help users master Retrieval-Augmented Generation (RAG). Developed by Microsoft experts, this resource provides step-by-step guides, live coding samples, and expert insights to enable the creation of smarter AI applications. The program covers fundamental RAG concepts, building ultimate retrieval systems, optimizing vector indexes for scale, handling multimodal data, and exploring hero use cases, including Agentic RAG. It features exclusive video content, practical demonstrations, and sample code to facilitate hands-on learning, making complex concepts accessible through engaging visuals.

Best used for

Ideal for students, professors, and technical professionals who need to master Retrieval-Augmented Generation, build advanced AI applications, and optimize vector indexes for scale. Especially valuable for those looking for expert-led guidance and practical code samples to implement RAG solutions.

Common actions

learn RAG

build AI applications

master retrieval techniques

optimize vector indexes

implement Agentic RAG

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Capabilities

Key features

Step-by-step RAG guides
Live coding samples
Expert insights
Exclusive video content
Sample code implementations
Visual explanations

Target Audience

studentprofessorteacher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the structure of the RAG Time learning journey?

The RAG Time learning journey is structured as a 5-week program, with an additional bonus journey on Agentic RAG. Each week covers unique topics, including RAG fundamentals, building retrieval systems, optimizing vector indexes, multimodal data handling, and hero use cases, featuring leadership insights, tech talks, and code samples.

Where can I access the video content and code samples for RAG Time?

All episodes of RAG Time are available on YouTube. The corresponding code samples and step-by-step guides are provided within the GitHub repository, organized by learning journey, allowing users to follow along with ready-to-use implementations and best practices.

How can I contribute to the RAG Time project or get support?

Contributions, suggestions, and error reports are welcome via raising an issue or creating a pull request on the GitHub repository. For questions or to get unstuck, users can join the Azure AI Community Discord, where experts are available to assist.

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Subcategories trending in Research & Education

Academic Research Study Assistants Knowledge Management Scientific Computing Summarization Language Learning

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Also listed in

This tool also appears in

AI Agents & Automation › RAG & Document AI

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