hoanglhse173120/prn222

This is an ASP.NET Core RAG learning chatbot with a Python embedding service. Its main workflow is document upload and indexing, followed by real-time chat: questions are embedded, compared with indexed document chunks, and sent with relevant context to an LLM; responses can include document sources. The repository also exposes authentication, subject/document administration, subscriptions and payments, and benchmark/statistics capabilities. The graph reflects documented capabilities where relevant, but several page and service implementations were not sampled, so uncertain internal calls are omitted.