Retrieval Augmented Generation document_rag directory represents the conversion of text inside the documents into a clear RAG vector database
While Whatsapp RAG directory represents the processing , storing and hosting server for the API calls to create a functional testing chatbot on whatsapp using Twilio API and text-embedding-004 model for embedding the documents into a RAG database ,and GEMINI Flash for answering the queries from the user with citation