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Stop Letting Dirty Data Break Your Knowledge Graph: Mastering Entity Resolution & Deduplication in TypeScript

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

Enterprise knowledge graphs are rarely born pristine. They are typically assembled from fragmented, noisy, and heterogeneous data streams. If you are building modern enterprise AI applications, you have likely run into the ultimate data engineering nightmare: the transition from stochastic language…

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  1. 2026-09-09 20:00 · DEV Community — AI
    Stop Letting Dirty Data Break Your Knowledge Graph: Mastering Entity Resolution & Deduplication in TypeScript

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