Research Automation

Contents

Research Automation System

Overview

The LLM-Wiki features an automated research system that continuously discovers, researches, and evolves content based on current trends and developments.

How It Works

1. Automated Research Pipeline

# Daily research scan
python3 /home/dv/hugo-llm-wiki/scripts/research-automation.py

2. Research Topics

The system researches four key areas:

  • Hugo Documentation Automation Patterns: Latest Hugo automation techniques and best practices
  • LLM-Powered Knowledge Bases: Advances in AI-powered documentation systems
  • Self-Discovering Documentation Systems: Systems that automatically identify and connect related concepts
  • AI Content Evolution Strategies: Methods for continuous content improvement

3. Content Generation

Each research topic generates:

  • Markdown content with proper Hugo front matter
  • Source attribution for credibility
  • Related topic suggestions for self-discovery
  • Evolution tracking for continuous improvement

4. Integration Points

  • Hugo Content Pipeline: New content is automatically added to /content/topics/
  • Svelte Dashboard: Real-time research updates in the web interface
  • Discord Integration: Research notifications and user feedback collection

Configuration

Research Frequency

# config.toml
[params.research]
  scanFrequency = "daily"
  sources = ["official", "academic", "recent"]
  topics = ["Hugo automation", "LLM systems", "documentation systems"]

Quality Control

  • Source Filtering: Official documentation, academic papers, recent developments
  • Content Scoring: Relevance and credibility metrics
  • Update Threshold: Minimum 80% quality score for publication

Future Enhancements

  1. Semantic Analysis: Automatic topic relationship mapping
  2. User Feedback Integration: Community-driven content refinement
  3. Real-time Updates: Live research integration
  4. Multi-language Support: Research in multiple languages

Usage

Manual Research Run

cd /home/dv/hugo-llm-wiki
python3 scripts/research-automation.py

Scheduled Updates

The system can be configured to run automatically via cron:

# Add to crontab
0 0 * * * cd /home/dv/hugo-llm-wiki && python3 scripts/research-automation.py >> logs/research.log 2>&1