gabrielchua/RAGxplorer
Fork: 95 Star: 1078 (更新于 2024-11-01 21:20:39)
license: MIT
Language: Jupyter Notebook .
Open-source tool to visualise your RAG 🔮
最后发布版本: v0.1.2 ( 2024-01-27 23:41:04)
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.
主题(topics):
interactive, llm, python, rag, streamlit, visualization
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