Release v2.1.5
Indexly v2.1.5 adds safe incremental indexing, log-based scope, read-only plan previews, quieter Excel processing, and reviewed release metadata checks.
Indexly v2.1.5 adds safe incremental indexing, log-based scope, read-only plan previews, quieter Excel processing, and reviewed release metadata checks.
Practical Indexly usage guide for Windows, macOS, and Linux. Covers indexing, search, regex, tagging, analysis, organizing, backup/restore, and common troubleshooting.
Use Indexly search and regex commands to query indexed files with SQLite FTS5, filters, tags, fuzzy matching, profiles, and cache controls.
Configure Indexly runtime paths, search profiles, search cache behavior, analysis persistence, indexing log artifacts, tags, OCR choices, and maintenance commands.
Build and refresh a local search index with Indexly, including fast incremental indexing, log-based scope, safe previews, file filters, and advanced extraction.
Use the Indexly clear-search command to safely remove indexed FTS5 search entries by path, tag, or full index with dry-run previews, confirmations, cache handling, and audit logs.
Understand why semantic indexing exists in Indexly, how it fixes real-world search relevance issues, and how rule-based semantic filtering improves results in large local databases.
Learn how to use Indexly’s powerful file tagging system to categorize, organize, and search files effortlessly. Supports bulk tagging, recursive folder tagging, and instant tag lookups.
Learn how Indexly detects virtual tags from DOCX tables, email metadata, and conservative regex fallback patterns during indexing, then stores them as searchable file tags.
Explore how Indexly analyzes the Chinook sample database: table summaries, relationships, ER diagrams, and exported Markdown reports from a real-world multi-table SQLite database.