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A open-source tool to to visualise your RAG documents 🔮.

Project description

RAGxplorer 🦙🦺

PyPI version Streamlit App

RAGxplorer is a tool to build Retrieval Augmented Generation (RAG) visualisations.

Quick Start ⚡


pip install ragxplorer


from ragxplorer import RAGxplorer
client = RAGxplorer(embedding_model="thenlper/gte-large")
client.load_pdf("presentation.pdf", verbose=True)
client.visualize_query("What are the top revenue drivers for Microsoft?")

A quickstart Jupyter notebook tutorial on how to use ragxplorer can be found at

Or as a Colab notebook:

Open In Colab

Streamlit Demo 🔎

The demo can be found here:

View the project here

Contributing 👋

Contributions to RAGxplorer are welcome. Please read our contributing guidelines (WIP) for details.

License 👀

This project is licensed under the MIT license - see the LICENSE for details.

Acknowledgments 💙

  • DeepLearning.AI and Chroma for the inspiration and code labs in their Advanced Retrival course.
  • The Streamlit community for the support and resources.

Project details

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