Turning a pile of documents into a searchable useable knowledge base (github.com)

DocuBrowse has introduced a powerful tool that transforms disorganized collections of documents into a searchable and user-friendly knowledge base. This application is compatible with major operating systems—Linux, Windows, and macOS—and allows users to index various file types, such as PDFs, Word documents, and eBooks. By leveraging intelligent indexing, DocuBrowse performs semantic searches that can return documents based on meaning rather than exact keywords, making it easier to locate specific items. Users can receive AI-generated summaries of documents with a single click, enhancing productivity by streamlining the search process. The significance of DocuBrowse for the AI/ML community lies in its local processing model, which emphasizes data privacy by not requiring internet access, accounts, or token budgets. Utilizing SQLite's FTS5 for keyword searches combined with AI models for semantic similarity, the software supports a hybrid search mode that balances both approaches. Built-in privacy protection features ensure sensitive information like social security numbers are detected and purged from the index. With its memory-safe design and efficient document management capabilities, DocuBrowse addresses the growing need for actionable information retrieval while respecting user privacy.