Public space
exorbyte matchmaker toolbox examples
Components | |||
Nodes Overview Examples | |||
Address Matching with Multi-Field Indexer | |||
Character Mapper Overview Example Workflow | |||
Customer Identification via Email Content Matching (Data App) | |||
Explainable Fuzzy Matching - Typo Error Statistics | |||
Frequency-Aware Anomaly Detection | |||
Fuzzy Category Cleaner - Preparing Categorical Data for Machine Learning | |||
Identity Resolution in Customer Data with Table Indexer | |||
Index Reader and Writer – Reusing Indexed Data | |||
Product Title Normalization using Phrase Indexer (E-Commerce) | |||
Simple Typo-Tolerant Lookup Tool for LLMs | |||
exorbyte License Activation Guide |
This public space contains official KNIME workflows, components, and DataApps developed and maintained by the exorbyte team. All content here has been reviewed, tested, and approved for external use. These resources demonstrate supported use cases for exorbyte KNIME integrations and are intended to help the broader KNIME community use exorbyte technologies.