Multi-Field Index Matcher (Labs)

The Multi-Field Indexer (Labs) node constructs a fast, fault-tolerant search index from multiple columns of an input table. Users can dynamically add fields and assign a semantic data type to each one.
For predefined data types (such as Term, Street Name, ZIP Code, City Name, Country Name, Email, IBAN), the node automatically chooses the most suitable internal indexing strategy.
When the Generic data type is selected, users can manually choose between the Edit, Automaton, or Automatic index types to fine-tune matching behavior.
The node outputs a unified Multi-Field Index Object containing all configured fields, their metadata, and their internal indexing configurations. This index is designed for use in the Multi-Field Index Matcher node for multi-attribute fuzzy matching and entity resolution.

Options

Recall columns

• Input Column: Selects the comparison table column that will be searched.
• Indexed Column: Selects the (indexed) reference table column.
• Weight: Weight used for quality calculation
• Requirement: Identity, Mandatory, Optional, Filter

Views

This node has no views

Workflows

• No workflows found

Links

• No links available

Developers