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
ChineseDocumentSplitter	Divides Chinese text documents into smaller chunks using advanced Chinese language processing capabilities, using HanLP for accurate Chinese word segmentation and sentence tokenization.
CSVDocumentCleaner	Cleans CSV documents by removing empty rows and columns while preserving specific ignored rows and columns.
CSVDocumentSplitter	Divides CSV documents into smaller sub-tables based on empty rows and columns.
DocumentCleaner	Removes extra whitespaces, empty lines, specified substrings, regexes, page headers, and footers from documents.
DocumentPreprocessor	Divides a list of text documents into a list of shorter text documents and then makes them more readable by cleaning.
DocumentSplitter	Splits a list of text documents into a list of text documents with shorter texts.
HierarchicalDocumentSplitter	Creates a multi-level document structure based on parent-children relationships between text segments.
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 13 days ago