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Last updated: August 30, 2026, 2:25 PM ET

AI & ML Research

Data scientists must adapt as context engineering evolves, with new guidelines reshaping how they structure prompts and retrieval pipelines for production systems.

Meanwhile, RAG pipelines still struggle with noisy text from user typos, OCR errors, and transcription noise. Classical spell-check only addresses one source, leaving embedding-based retrieval vulnerable to character-level corruption that degrades answer quality.