AutoDoctor Documentation
Official AutoDoctor documentation for users, technical operators, and developers. Covers installation, configuration, diagnostics, remediation, API, dashboard, and troubleshooting.
Category: Documentation
Search Internals and Advanced Usage
How Indexly turns indexed content into FTS5 and regex results, including query normalization, filters, snippets, cache behavior, and performance guidance.
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Search Files with Indexly
Use Indexly search and regex commands to query indexed files with SQLite FTS5, filters, tags, fuzzy matching, profiles, and cache controls.
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Configuration and Runtime Files
Configure Indexly runtime paths, search profiles, search cache behavior, analysis persistence, indexing log artifacts, tags, OCR choices, and maintenance commands.
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Index Files and Folders with Indexly
Learn how to index files and folders with Indexly using simple CLI commands. Filter by file type, enable advanced extraction, and keep your index up to date automatically.
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Clear Search Results Safely
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.
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Semantic Indexing in Indexly – Overview
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.
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Renaming Files with Patterns
Standardize filenames in Indexly with rename-file patterns, dry-run previews, optional database path sync, and direct handoff into profile-based organization.
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Indexly Data Analysis & File Pipeline Overview
Understand how Indexly analyzes CSV, JSON, NDJSON, SQLite, Excel, XML, YAML, and Parquet files through its universal loader and specialized pipelines.
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Analyze CSV Data
Analyze CSV files with Indexly using delimiter detection, numeric statistics, optional cleaning, terminal charts, static or interactive visualizations, and exports.
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CSV Inference
Run statistical inference over persisted or path-based CSV datasets with explicit dataset resolution and merge diagnostics.
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Clean CSV Data
Clean CSV files with Indexly using datetime parsing, missing-value filling, derived date features, normalization, outlier removal, and analysis persistence.
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Database Analysis – Analyze SQLite Databases
Analyze SQLite databases with Indexly to extract table summaries, detect relationships, generate ER diagrams, and export structured insights in JSON, Markdown, or HTML.
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Chinook DB Examples – Real-World SQLite Analysis
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.
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The Story of Chinook – A Narrative SQLite Database Case Study
Explore the Chinook sample database through a narrative lens. Understand tables, relationships, and real-world data structure while seeing how Indexly brings SQLite databases to life.
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Indexly Doctor
Use indexly doctor to inspect Indexly health, runtime paths, search database readiness, analysis persistence, cache state, optional dependencies, and safe repair options.
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Indexly Logging System – NDJSON Standard and Legacy .log Support
Understand Indexly’s logging architecture, including the modern NDJSON-based logging system and legacy .log support. Learn how logs are structured, rotated, analyzed, and migrated.
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Legacy .log Logging System – Full Documentation
Complete documentation of Indexly’s legacy .log-based logging system. Learn how classic log files are parsed, cleaned, normalized, exported, and migrated to the modern NDJSON logging standard.
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FAQ
Frequently asked questions for installing, using, troubleshooting, and maintaining Indexly across supported platforms.