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RAG & Knowledge Systems

Rag Time

RAG Time is an open-source, five-week learning program about retrieval-augmented generation, organized as journey pages with videos, written materials and code samples.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Rag Time — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use RAG Time when you want a guided curriculum or topic-specific learning materials and sample code for RAG.

Who it is for

  • Learners seeking a structured introduction to RAG and knowledge retrieval.
  • Developers studying retrieval systems, vector-index techniques, multimodal retrieval or agentic RAG.

Documented uses

  • Study foundational RAG and knowledge-retrieval concepts.
  • Explore retrieval-system design, including Azure AI Search.
  • Learn techniques for optimizing vector indexes and examine multimodal and agentic RAG examples.
Before you choose

Requirements & limits

The repository is public and licensed under MIT. The stated setup path asks learners to fork and clone it.

  • The curriculum includes five core journeys and a bonus journey on agentic RAG.
  • Materials include journey READMEs, linked videos and blog posts, and notebook or directory-based samples.
  • The primary documented role is education through materials and examples, rather than a hosted RAG service.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the learning materials locally

Fork and clone the repository, then select a learning journey to follow.

Before you start

  • A GitHub account to fork the repository.
  • A local machine with Git available.

Steps

  1. Fork the RAG Time repository.

  2. Clone your fork to your local machine.

  3. Open a journey directory and follow its README instructions.

Expected outcome

A local copy of the materials and a selected journey’s instructions for continuing the course.

Guide limitations

  • The repository’s start instructions do not specify notebook environment setup or the execution requirements for individual samples.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
microsoft/rag-time · Official homepage title · retained in its source language
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