Extracts relevant keywords from documents.
Extracts the data specification from the input DB Data port.
Extracts date fields from a date/time and appends the values as integer columns.
Extracts time fields such as and appends the value as integer columns.
Extracts the documents, embeddings and metadata from a vector store into a table.
Extracts date and/or time fields from date & time cells.
Simple parallel threaded implementation of LDA for topic detection.
Extracts all message parts.
Creates a corpus which contains the counts of tokens of a document collection.
Train a Word2Vec model using documents.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.