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PhilippeMoussalli committed Jan 15, 2024
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# RAG Data Pipeline Tuning
# Retrieval Augmented Generation (RAG) Tuning

<p align="center">
<a href="https://github.com/ml6team/fondant">
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## Introduction

This repository contains RAG-related pipelines built with
[Fondant](https://github.com/ml6team/fondant), a hub and framework for easy and shareable data
processing.
This repository contains data pipelines and ready-to-use notebooks for tuning RAG systems both manually and automatically using parameter search.
To achieve this, it leverages [Fondant](https://github.com/ml6team/fondant), a free and open source framework for production-ready, easy and shareable data processing.
Check out the Fondant [website](https://fondant.ai/) if you want to learn more and join our [Discord](https://discord.gg/HnTdWhydGp) if you want to stay up to date.

## Available notebooks

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### Auto-tuning of a RAG indexing pipeline

> 🚧 Coming soon
<p>
A <a href="./src/parameter_search.ipynb"><b>notebook</b></a> which allows you to automatically search for the
optimal parameter settings using different methods
</p>
<br>
<p align="center">
<a href="./src/parameter_search.ipynb">
<img src="./art/iteration.png" width="800px"/>
</a>
</p>

## Getting started

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