Your data thinks Coca-Cola Zero Sugar 12oz and Coke Zero 12 Pack are different products. Healthcare systems can't tell if two patient records refer to the same person. Banks miss money laundering patterns hidden in ownership networks. The algorithms exist—BM25, HNSW, SPLADE, Graph Transformers—but knowing when to use them is the hard part. This framework shows you how to sequence matching algorithms into production entity resolution systems tailored to your domain's risk prof

Pairwise matching treats each comparison as a one-off. A persistent knowledge graph turns product mentions, manufacturers, model numbers, attributes, and price bins into typed nodes and relations. Matching becomes neighborhood comparison: multi-hop paths (convergent evidence) can beat any single similarity score.