This application uses Retrieval Augmented Generation (RAG) powered by LlamaIndex to allow users to ask questions about SEC filings and receive answers with citations to source documents. It features a PDF viewer with citation highlighting, streaming LLM responses via Server-Sent Events, and integrates with external APIs for quantitative financial data. The repository serves as a reference implementation for production-ready RAG applications.