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LSTM
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- Article · AI Agents
Unstructured Context That Actually Improves Forecasting Performance: An Enterprise Multi-Agent RAG System
Traditional forecasting models rely heavily on structured historical data—time series, numerical metrics, and categorical variables. However, **unstructured context** such as news articles, social media sentiment, earnings call transcripts, regulatory filings, customer support tickets, and market commentary often contains leading indicators that significantly improve forecast accuracy when properly integrated.
