RyanSeanPhillips/LabIndex: v0.1.0 - Initial Release

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Authors: RyanSeanPhillips
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Abstract

LabIndex v0.1.0 - Initial Release NLP-Assisted Lab Directory Indexing and File Relationship Discovery LabIndex builds a local SQLite index of your lab/network drives, enabling fast search, intelligent file discovery, and automatic relationship detection between data files and notes—all without ever modifying your source files. Key Features Tiered Metadata Extraction Tier 0: Fast file inventory (path, size, timestamps, extension-based categorization) Tier 1: Pattern matching for standardized formats (ABF, SMRX headers, spreadsheet columns) Tier 2: NLP extraction for semi-structured text (notes, references, entity detection) Tier 3: LLM reading for complex/ambiguous notes (budget-controlled with gating conditions) Automatic Link Detection Animal ID matching from paths and filenames Filename similarity with fuzzy matching and numeric suffix handling Content reference detection (finds mentions of files in notes) Folder proximity analysis (sibling/parent relationships) 48+ ML features for link confidence scoring Human-in-the-Loop Review Confidence-based routing: auto-accept (>0.95), human review (0.4-0.95), auto-reject (

Fields of Study & Subjects

Research Data Management Practices Scientific Computing and Data Management Software Engineering Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 February 2026