Traditional search relies on exact keyword matching, often missing the context and meaning behind your questions. QueryDocs' semantic search understands the intent of your query, finding relevant information even when your exact search terms aren't present in the document. This AI-powered approach delivers more accurate, comprehensive results, saving you hours of manual searching and helping you discover insights you might otherwise miss.

When working with OpenDocument Text Analysis files, GPT-o3 Mini smart reasoning model from openai. This makes it particularly effective for implementing semantic search.

OpenDocument Text (ODT) is an open standard format for office documents, widely used in LibreOffice and other open-source office suites. QueryDocs transforms how you work with ODT files by allowing you to upload any .odt document and interact with it conversationally. Our AI extracts the content and structure of your ODT documents, enabling you to search for specific information, generate summaries, and ask questions about the content without manual reading. This makes information extraction from OpenDocument files effortless and efficient.