Make Your Obsidian Vault AI-Searchable
Turn your personal Obsidian notes into a private RAG library for AI assistants
Your Obsidian vault contains years of notes, ideas, and knowledge. In this tutorial, you’ll package it as a libragen library so AI tools can search your personal knowledge base—completely offline and private.
Time required: ~5 minutes
What you’ll learn:
- Building a library from an Obsidian vault
- Handling wiki-links and frontmatter
- Querying your notes with AI
- Keeping your library in sync
Why This Matters
When you ask an AI assistant a question, it only knows what’s in its training data. But your Obsidian vault contains:
- Meeting notes and decisions
- Project documentation
- Research and learning notes
- Personal workflows and processes
With libragen, your AI can search your actual notes and give you answers grounded in your own knowledge.
Prerequisites
- Node.js 20 or later
- An Obsidian vault with markdown notes
Step 1: Build from Your Vault
Point libragen at your Obsidian vault directory:
libragen build ~/Documents/ObsidianVault \ --name my-brain \ --description "My personal knowledge base"Libragen processes all .md files recursively, including nested folders.
Excluding Folders
Skip templates, daily notes, or other folders you don’t want indexed:
libragen build ~/Documents/ObsidianVault \ --name my-brain \ --exclude "**/Templates/**" \ --exclude "**/Daily Notes/**" \ --exclude "**/.obsidian/**"Including Attachments
If you have text-based attachments (like .txt files), include them:
libragen build ~/Documents/ObsidianVault \ --name my-brain \ --include "**/*.md" \ --include "**/*.txt"Step 2: Test Your Library
Query your notes from the command line:
libragen query --library my-brain "What did we decide about the API redesign?"You’ll see results from your actual notes:
Results for: "What did we decide about the API redesign?"
[0.91] Projects/API Redesign/Meeting Notes 2024-03-15.md Decision: We'll use REST for public endpoints and GraphQL for internal dashboard. Timeline is Q2. Sarah owns the migration plan...
[0.87] Projects/API Redesign/Architecture.md The new API will follow resource-oriented design. Authentication moves to JWT with refresh tokens. Rate limiting at 1000 req/min...
[0.82] Areas/Engineering/Technical Decisions.md API Redesign: Approved 2024-03-15. See [[API Redesign/Meeting Notes]] for full context...Step 3: Connect to Your AI Tool
Claude Desktop, Cursor, or Windsurf
Install the MCP server:
npx -y install-mcp @libragen/mcpNow you can ask Claude or your AI coding assistant:
“Search my notes for everything about the onboarding flow redesign”
“What were the key points from my 1:1 with Sarah last month?”
“Find my notes on Kubernetes networking”
The AI searches your library and responds with information from your actual notes.
Privacy Note
Your notes never leave your machine. Libragen runs entirely locally:
- Embeddings are generated on your device
- The library file stays on your disk
- MCP queries happen locally
- No data is sent to any cloud service
Step 4: Keep It Updated
Your vault changes constantly. Rebuild periodically to keep your library current.
Manual Rebuild
libragen build ~/Documents/ObsidianVault \ --name my-brain \ --description "My personal knowledge base"This overwrites the previous version.
Automated Rebuild with a Script
Create a simple update script (update-brain.sh):
#!/bin/bashlibragen build ~/Documents/ObsidianVault \ --name my-brain \ --description "My personal knowledge base - Updated $(date +%Y-%m-%d)" \ --exclude "**/Templates/**" \ --exclude "**/Daily Notes/**" \ --exclude "**/.obsidian/**"
echo "✓ Library updated at $(date)"Run it weekly or whenever you’ve added significant notes.
Automated Rebuild with Cron (macOS/Linux)
Update daily at 6 AM:
# Edit crontabcrontab -e
# Add this line0 6 * * * /path/to/update-brain.sh >> /tmp/libragen-update.log 2>&1Advanced: Handling Obsidian Features
Wiki-Links
Libragen preserves wiki-link syntax ([[Note Name]]) in the indexed content. When you query, results may include these links, helping you find related notes.
Frontmatter
YAML frontmatter is included in the searchable content. If your notes have metadata like:
---tags: [project, api, architecture]status: in-progressowner: Sarah---You can search for it:
libragen query --library my-brain "notes owned by Sarah"Dataview Queries
Dataview query blocks are indexed as-is. While libragen won’t execute them, the query text itself becomes searchable, which can help you find notes with specific query patterns.
Canvas Files
Obsidian canvas files (.canvas) are JSON and won’t be processed by default. If you want to index them, you’d need to extract the text content first.
Tips for Better Results
1. Use Descriptive Titles
Notes with clear titles rank higher in search:
- ✅
API Redesign - Architecture Decision Record - ❌
Untitled 23
2. Add Context to Notes
Include project names, people, and dates in your notes. This makes semantic search more effective:
## Meeting: API Redesign Kickoff**Date:** 2024-03-15**Attendees:** Sarah, Mike, Alex
Discussed the timeline for migrating to the new REST API...3. Use Consistent Terminology
If you call something “API” in some notes and “backend service” in others, search may miss connections. Pick consistent terms for important concepts.
4. Organize with MOCs
Maps of Content (MOCs) that link related notes together provide additional context for search, since the links themselves are indexed.
Troubleshooting
”Too many files” or slow processing
Large vaults (10,000+ notes) may take a while. Use --exclude aggressively:
libragen build ~/Documents/ObsidianVault \ --name my-brain \ --exclude "**/Archive/**" \ --exclude "**/Daily Notes/**" \ --exclude "**/Templates/**"Notes not appearing in results
Check that:
- The file has a
.mdextension - It’s not in an excluded folder
- The file isn’t empty or very short (< 50 characters)
Out of memory
For very large vaults:
NODE_OPTIONS="--max-old-space-size=8192" libragen build ~/Documents/ObsidianVault --name my-brainNext Steps
- Building Libraries - Advanced chunking and processing options
- MCP Integration - Configure AI tool connections
- CLI Reference - Full command documentation