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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)

GitHub网址

RAGxplorer 🦙🦺

PyPI version Streamlit App

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:

Open In Colab

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.

最近版本更新:(数据更新于 2024-09-25 13:49:48)

2024-01-27 23:41:04 v0.1.2

2024-01-17 00:30:26 v0.1

主题(topics):

interactive, llm, python, rag, streamlit, visualization

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