A open-source tool to to visualise your RAG documents 🔮.
Project description
RAGxplorer 🦙🦺
RAGxplorer is tool to build Retrieval Augmented Generation (RAG) visualisations.
Quick Start ⚡
Installation
pip install ragxplorer
Usage
from embedding_adapter import EmbeddingAdapter
client = RAGxplorer(embedding_model="thenlper/gte-large") # Choose any HuggingFace or OpenAI embedding model
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.
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