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It bridges the gap between Large Language Models (LLMs) and databases by compiling, evaluating, and maintaining the precise operational context needed for highly accurate natural language-to-SQL query generation.",[],[159,160,163,166,169,172],{"slug":5,"name":6},{"slug":161,"name":162},"data-analysis","Data Analysis",{"slug":164,"name":165},"database","Database",{"slug":167,"name":168},"evals","Evals",{"slug":170,"name":171},"agent-context","Agent 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