PreProcessors

Use the PreProcessors to preprare your data normalize white spaces, remove headers and footers, clean empty lines in your Documents, or split them into smaller pieces. PreProcessors are useful in an indexing pipeline to prepare your files for search.

PreProcessor	Description
DocumentCleaner	Removes extra whitespaces, empty lines, specified substrings, regexes, page headers, and footers from documents.
DocumentSplitter	Splits a list of text documents into a list of text documents with shorter texts.
NLTKDocumentSplitter	A more specialized version of `DocumentSplitter` that provides more control over sentence boundaries and language handling.
RecursiveSplitter	Splits text into smaller chunks, it does so by recursively applying a list of separators to the text, applied in the order they are provided.
TextCleaner	Removes regexes, punctuation, and numbers, as well as converts text to lowercase. Useful to clean up text data before evaluation.

Updated 12 days ago