OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
RAG & Knowledge Systems

Rag Cookbooks

Rag Cookbooks is a public collection of Jupyter notebooks that explains and implements retrieval-augmented generation techniques, from naive RAG to advanced and agentic approaches, with material on evaluating RAG applications.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Rag Cookbooks — 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 learning RAG patterns or looking for a notebook example to inform a project’s retrieval and evaluation design.

Who it is for

  • Researchers exploring RAG techniques and evaluation.
  • Developers building RAG systems who want example implementations and explanations.

Documented uses

  • Study how document indexing, retrieval, context augmentation and generation fit into a RAG workflow.
  • Compare approaches such as hybrid retrieval, HyDE, parent-document retrieval and RAG fusion.
  • Review RAG evaluation concepts and notebook-based implementation guidance.
Before you choose

Requirements & limits

The repository is public on GitHub and licensed under MIT.

  • Examples use different tools, so the required stack depends on the technique selected.
  • The README describes cloning the repository and following each technique’s implementation instructions.
  • Research papers and references are included for further reading.

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

Clone the repository and locate a technique

Prepare a local copy of the notebooks and continue to the implementation instructions for a selected RAG technique.

Before you start

  • Git, to run the README's clone command
  • A terminal or shell

Steps

  1. Run the command below.

    Documented command
    git clone https://github.com/athina-ai/rag-cookbooks.git

  2. Run cd rag-cookbooks.

  3. Choose a technique and follow its detailed implementation.

Expected outcome

A local copy of the repository and a path to the selected technique’s implementation instructions.

Guide limitations

  • The README points to technique-specific implementation details but does not give a single setup or execution procedure for all notebooks.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
athina-ai/rag-cookbooks · Official homepage title · retained in its source language
How we review sourcesSuggest a correction