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Lived Experience Retrieval Augmented Generation Engine
A sophisticated computational framework for systematically mining clinical insights from long-form lived experience content. Transform rich qualitative data into research-grade findings with bias control and statistical rigor, starting with The Misophonia Podcast.
Core Capabilities
Advanced computational techniques that enable rigorous, bias-controlled analysis of qualitative content
Diversity Optimization
Mathematical framework ensuring source diversity while maintaining relevance
Prevents echo chambers in qualitative analysis through Maximal Marginal Relevance optimization, ensuring representative sampling across diverse perspectives.
Bias Control
Weighted influence reduction without information loss
Configurable score weighting preserves information while reducing researcher bias through speculation detection and author influence controls.
Hybrid Search
Multi-strategy retrieval for comprehensive coverage
Query-adaptive weighting across semantic, temporal, and causal search strategies provides comprehensive content coverage.
Research Statistics
Automated confidence intervals and effect sizes
Publication-quality statistical analysis with Wilson confidence intervals, effect size reporting, and appropriate hypothesis testing.
AI-Powered Analysis
Structured synthesis with confidence scoring
Advanced language model integration with structured output formats and confidence metrics for reliable automated analysis.
Content Processing
Multi-strategy chunking and classification
Intelligent content segmentation using conversation flow, topic clustering, and sliding window approaches for optimal analysis.
Privacy & Deidentification
Local-first processing with content anonymization
Protect sensitive information through local processing, automated deidentification, and configurable researcher privacy controls.
Literature Validation
GPT-powered audit against established methodologies
Automatically compare analysis approaches against peer-reviewed research methodologies to ensure academic rigor and compliance.
Idempotent Processing
Safe re-runs with reproducible workflows
Content hashing and change detection ensure safe re-execution without duplicates, enabling reproducible research workflows.
Research Interface
Powerful command-line tools for systematic analysis
Research Commands
Structured research queries with bias controls and statistical analysis.
# Research with bias controlslerage research triggers --sufferers-onlylerage research prevalence anxiety depressionlerage research association childhood family
# Statistical analysislerage stats confidence-intervals triggerslerage stats effect-sizes coping-strategiesExploratory Queries
Open-ended exploration with diversity optimization and bias controls.
# Exploratory analysislerage query "What causes emotional responses?" \--exclude-researcher \--diversity-weight 0.7
# Hypothesis testinglerage explore "Stress impacts on symptoms" \--primary-sources --export-resultsSimple Deployment
Easy setup, portable anywhere
Docker Locally
One-command setup
API-Based
REST interface
Built-in CLI
Command-line tools
Cloud Portable
Deploy anywhere
Interested in LERAGE?
We're developing a powerful platform for research-grade analysis of lived experience content. Get in touch to learn more about collaboration opportunities.