RAGxplorer loads documents such as PDFs, embeds them with configurable embedding models, and provides interactive Streamlit-based visualisations to inspect how queries retrieve relevant chunks, view similarity scores, and debug RAG pipeline behavior. It serves as an observability and debugging tool for developers building retrieval-augmented generation applications.