RAGxplorer is a tool to build Retrieval Augmented Generation (RAG) visualisations.
Installation
pip install ragxplorerUsage
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?")
Contributions to RAGxplorer are welcome. Please read our contributing guidelines (WIP) for details.
This project is licensed under the MIT license - see the LICENSE for details.
- DeepLearning.AI and Chroma for the inspiration and code labs in their Advanced Retrival course.
- The Streamlit community for the support and resources.