RAG for Enhanced Stock Market Information Retrieval

A new RAG system integrates retrieval-based and generative approaches to improve contextual accuracy in dynamic financial environments. The goal is to mitigate the difficulties traditional NLP models face when generating relevant responses for volatile stock market data.