A open-source tool to to visualise your RAG documents 🔮.
Project description
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?")
Streamlit Demo (WIP) 🔎
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 file 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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ragxplorer-0.1.8.tar.gz
(9.5 kB
view hashes)
Built Distribution
ragxplorer-0.1.8-py3-none-any.whl
(10.4 kB
view hashes)
Close
Hashes for ragxplorer-0.1.8-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 39f577937fc6a5b22b7470ca0376acabf06aa00e37d261bf76345fa70addf50c |
|
MD5 | 2b44f865e32ee5c9898d47f6e057db09 |
|
BLAKE2b-256 | 08f9663d75d5770ee3b8caf559f036a51822aa09460eb261db3597a9082dc491 |