Docuquery is a Python library available on the Python Package Index (PyPI) that enables users to query documents using natural language. Its primary function is to allow users to ask questions about the content of their documents and receive answers extracted directly from the text. The tool is designed to work with various document formats, making it a utility for information retrieval and document analysis. The library processes documents by indexing their content and then applying natural language processing techniques to interpret user queries. It returns relevant passages or answers based on the document text. Typical use cases include searching through large collections of PDFs, Word files, or plain text documents for specific information, automating the extraction of answers from technical manuals, research papers, or legal documents, and integrating document querying capabilities into larger Python applications. Technical requirements for using Docuquery include a Python environment and the installation of the library via pip. The tool relies on underlying natural language processing models to perform its querying functions. Users interact with the library through Python code, where they load documents, build an index, and then submit questions to retrieve answers. The workflow generally involves initializing a document index, adding documents to it, and then calling a query method with a natural language question.