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RAG & Knowledge Systems

Colpali Cookbooks

Colpali Cookbooks is a public, MIT-licensed repository of notebooks for learning, fine-tuning and adapting ColPali-family vision-language models for multimodal document retrieval and RAG.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Colpali 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 the repository when you want notebook-based guidance for experimenting with visual document retrieval or adapting ColPali-family models to a multimodal RAG use case.

Who it is for

  • Developers exploring visual document retrieval and multimodal RAG.
  • Researchers and practitioners who want notebook examples for inference, interpretability or fine-tuning.

Documented uses

  • Explore ColPali or ColQwen2 inference, scoring and interpretability.
  • Generate similarity maps to inspect model predictions.
  • Follow an end-to-end ColQwen2 RAG example with adapter hot-swapping.
  • Fine-tune ColPali using LoRA and optional 4-bit or 8-bit quantization.
Before you choose

Requirements & limits

  • The examples are notebooks and can be opened through Colab or used locally with Jupyter Notebook or an IDE.
  • The documented fine-tuning recipe uses LoRA and offers optional 4-bit or 8-bit quantization.
  • The README does not give one set of runtime or hardware prerequisites for every notebook.

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

Open a ColPali cookbook notebook

Access the repository’s notebooks in Colab or a local notebook environment.

Before you start

  • A notebook from the repository’s examples directory.
  • For local use, a cloned repository and Jupyter Notebook or an IDE.

Steps

  1. Choose a notebook in the examples directory.

  2. For Colab, use the notebook’s Colab button to open it.

  3. For local use, clone the repository and open the notebook in Jupyter Notebook or an IDE.

Expected outcome

The selected cookbook notebook is open in Colab or a local notebook environment for experimentation.

Guide limitations

  • These instructions describe opening notebooks; they do not specify a complete environment setup or execution requirements.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
14 October 2026
Original website title
tonywu71/colpali-cookbooks · Official homepage title · retained in its source language
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