This workflow demonstrates how to build a deterministic, multi-field search and matching pipeline using the Table Indexer and Table Index Matcher. It walks through loading data, creating a structured index with semantic field types, and applying configurable matching logic across multiple attributes. The example highlights how to control similarity, weighting, and filtering to achieve transparent and reproducible matching results.
Workflow
Table Indexing and Matching Overview Examples
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 5.8.2
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