RAGxplorer 🦙🦺
RAGxplorer is a tool to build Retrieval Augmented Generation (RAG) visualisations.
Quick Start ⚡
Installation
pip install ragxplorer
Usage
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 https://github.com/gabrielchua/RAGxplorer/blob/main/tutorials/quickstart.ipynb
Or as a Colab notebook:
Streamlit Demo 🔎
The demo can be found here: https://ragxplorer.streamlit.app/
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.
1 maintainer
Metadata
1 maintainer
Release files for ragxplorer 0.1.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ragxplorer-0.1.10-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ragxplorer-0.1.10-py3-none-any.whl
| Download URL | ragxplorer-0.1.10-py3-none-any.whl |
|---|---|
| Size | 11.2 kB |
| Tags | Python 3 |
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