There are 128 nodes that can be used as predessesor
for a node with an input port of type org.knime.core.data.filestore.FileStorePortObject.
This node allows the deserialization of a trained Text Classifier model.
Combines multiple Alias Objects into a single consolidated Alias Object. Designed to aggregate alias sets from different branches of a workflow into one […]
Converts an Alias Object into a transparent, human-readable Data Table. Used for inspection, debugging, QA, and governance of alias mappings before indexing […]
Creates a Table Index from selected table columns. Each field is assigned a semantic data type (e.g., Term, Address components, Email, IBAN). Predefined […]
The Table Indexer (Labs) node creates a unified, deterministic search index from multiple columns of an input table. Each selected column is added as an […]
Builds an Alias Object from a table of (word, alias, penalty) triples. Positive penalties boost matches; negative penalties create anti-aliases (forbidden […]
Transforms strings into a normalized representation by mapping characters to a configured alphabet and applying rules (case, accents, umlauts, currency, […]
Loads a previously stored Index Object from local or workflow-relative storage and restores it for reuse in fuzzy matching or filtering workflows.
Builds a searchable edit-distance index over a multi-word phrase column. Allows splitting phrases into individual terms using a configurable delimiter.
Builds a deterministic, high-performance searchable index over a single selected string column using exorbyte’s generic term indexing strategies.