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 EPUB Book Analysis files, Claude 3.5 Sonnet best coding model. This makes it particularly effective for implementing semantic search.

EPUB is the standard format for digital books and publications, but extracting specific information from ebooks can be time-consuming. QueryDocs transforms how you work with EPUB files by allowing you to upload any .epub file and interact with it conversationally. Our AI extracts the content, structure, and metadata of your ebooks, enabling you to search for specific information, generate summaries, and ask questions about the content without manual reading. This makes information extraction from digital books effortless and efficient.