Upload rag_data_layer.py + JSON (raw!)
This rag_data_layer.json file serves as the core knowledge base for the Sherpa Alzheimer RAG-powered assistant. It consolidates processed and structured information from various sources, including blog articles from the Fundació Pasqual Maragall, a Spanish diaphragmatic breathing exercise video transcript, and a legal prevention webinar transcript. Each entry in this JSON array represents a data 'chunk' with specific metadata such as id, text (the content), url (original source), source_type (e.g., 'blog_article', 'breathing_video', 'legal_webinar'), language ('es' or 'ca'), and topic (e.g., 'anxiety', 'legal', 'el_alzheimer'). This organized data layer enables the RAG system to efficiently retrieve relevant information to answer queries from Alzheimer caregivers and patients in simple, empathetic language