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Rag Tutorial

Rag Tutorial is a Chinese-language repository of structured lessons, Jupyter notebooks and project examples for learning retrieval-augmented generation (RAG), from core concepts and retrieval techniques to advanced architectures and production topics.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Rag Tutorial — 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 it when you want a structured, example-led path through RAG concepts and implementation, or want to study a particular notebook or project case.

Who it is for

  • Developers learning how to build retrieval-augmented generation workflows.
  • Chinese-language learners who want notebook exercises and applied RAG case studies.
  • Practitioners comparing techniques such as hybrid retrieval, reranking, GraphRAG and agentic RAG.

Documented uses

  • Learn core RAG concepts and evaluation methods.
  • Study implementation patterns for embeddings, document chunking, query enhancement and retrieval.
  • Explore example applications including document question answering, customer-service systems and research assistants.
  • Review production-oriented topics such as Docker deployment, monitoring and security.
Before you choose

Requirements & limits

The public repository is available under the MIT license. Local notebook setup requires Python 3.9 or later and pip or conda; the README also links to online documentation.

  • The tutorial is in Chinese.
  • The repository presents learning materials and example projects, rather than a hosted RAG application.
  • The README lists a broad range of frameworks and model or database integrations; requirements may differ by notebook or case study.

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 tutorial notebooks locally

Prepare the repository and launch Jupyter to work with its notebook materials.

Before you start

  • Python 3.9 or later
  • pip or conda
  • Git

Steps

  1. Clone the repository with the command below and change into the rag-tutorial directory.

    Documented command
    git clone https://github.com/vivy-yi/rag-tutorial.git

  2. Install the project dependencies with the command below.

    Documented command
    pip install -r requirements.txt

  3. Launch jupyter notebook or jupyter lab.

  4. Open the notebooks directory and select a notebook.

Expected outcome

A local Jupyter environment opened to the repository's tutorial notebooks.

Guide limitations

  • The README identifies notebooks and setup steps but the chosen model, database or service integrations may have additional requirements.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
vivy-yi/rag-tutorial · Official homepage title · retained in its source language
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