Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your machine.
Yet most demand forecasting systems today often produce disappointing results and significant forecast errors. The standard models found in these systems cannot easily identify trends in the data.
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