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dynamic-queries ✕obsidian-plugin2dataview1yaml-frontmatter1metadata-analysis1automated-tables1wiki-analytics1structured-data1llm-generated-metadata1marp1slide-generation1markdown-slides1presentation-format1wiki-output-format1knowledge-presentation1llm-output1structured-presentation1qmd1search-engine1markdown-search1hybrid-search1bm251vector-search1llm-reranking1local-search1cli-tool1mcp-server1wiki-scaling1

Dataview Plugin

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Obsidian plugin that runs queries over page frontmatter (YAML metadata) to generate dynamic tables, lists, and analytical views. Particularly valuable in llm-wiki-pattern implementations where LLMs consistently add structured metadata to wiki pages.

Core Functionality

YAML Frontmatter Queries:

  • Extract and analyze metadata from wiki pages
  • Filter pages by tags, dates, categories, confidence levels
  • Generate dynamic content that updates automatically
  • Create analytical views across the entire knowledge base

Dynamic Generation:

  • Tables and lists update automatically as pages change
  • No manual maintenance of summary content
  • Always reflects current state of wiki

Metadata Patterns in LLM Wikis

Standard Frontmatter:

---
title: Page Title
category: concepts|entities|projects|sources
created: YYYY-MM-DD
updated: YYYY-MM-DD
tags: [tag1, tag2, tag3]
sources: [list of contributing sources]
confidence: high|medium|low
---

Extended Metadata:

  • Source count tracking
  • Creation and update timestamps
  • Confidence assessments
  • Category classifications
  • Relationship mappings

Query Examples

Recent Updates:

  • Pages updated in last 7 days
  • Most frequently updated content
  • Recent source integrations

Quality Analysis:

  • Pages with low confidence ratings
  • Content lacking source citations
  • Orphan pages without inbound links

Content Overview:

  • Pages by category with creation dates
  • Tag frequency analysis
  • Source contribution tracking

Use Cases in Wiki Management

Dashboard Creation:

  • Overview of wiki health and activity
  • Quick access to different content types
  • Monitoring of maintenance needs

Quality Assurance:

  • Identify content needing review or updates
  • Find gaps in coverage or documentation
  • Track source diversity and quality

Analytics and Insights:

  • Understand knowledge accumulation patterns
  • Identify most valuable content areas
  • Track evolution of interests and focus

LLM Integration

Automated Metadata:

  • LLM consistently adds structured frontmatter
  • Tags generated based on content analysis
  • Confidence levels assessed during creation
  • Source tracking maintained automatically

Dashboard Queries:

  • LLM can create Dataview queries for specific analytics
  • Generate custom views for different purposes
  • Update query logic as wiki evolves

Implementation Strategy

Gradual Adoption:

  • Start with basic frontmatter (title, category, dates)
  • Add tags and sources as patterns emerge
  • Implement confidence ratings for quality tracking

Query Development:

  • Begin with simple lists and tables
  • Develop more complex analytical queries over time
  • Create reusable query templates for common needs

Benefits for Wiki Scaling

Automated Organization:

  • No manual maintenance of category pages
  • Dynamic content reflects current state
  • Reduces bookkeeping burden on both human and LLM

Insight Generation:

  • Surface patterns not visible in individual pages
  • Identify trends in knowledge accumulation
  • Support strategic decisions about focus areas

Quality Management:

  • Systematic identification of maintenance needs
  • Data-driven approach to wiki health
  • Objective assessment of content quality

See also