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Data Source Indexing Commands

LEANN provides index-* CLI commands for indexing common personal data sources. Each command reads from a specific data source and builds a searchable LEANN index.

Available Commands

Command Description Platform
leann index-browser [chrome|brave] Browser history macOS
leann index-email Apple Mail macOS
leann index-calendar Apple Calendar macOS
leann index-imessage iMessage conversations macOS
leann index-wechat --export-dir <path> WeChat chat history Any
leann index-chatgpt --export-path <path> ChatGPT export Any
leann index-claude --export-path <path> Claude export Any

Common Options

All index-* commands accept these options:

--index-name NAME          # Custom index name (each command has a sensible default)
--embedding-model MODEL    # Embedding model (default: facebook/contriever)
--embedding-mode MODE      # Backend: sentence-transformers, openai, mlx, ollama
--max-count N              # Max items to index (default: 1000)
--no-recompute             # Store full embeddings instead of using recomputation

Examples

Index Chrome browser history

leann index-browser chrome
leann index-browser brave --index-name brave_history

Index Apple Mail

leann index-email

Index iMessage

leann index-imessage

Index Apple Calendar

leann index-calendar

Index ChatGPT or Claude exports

# ChatGPT: export from https://chat.openai.com → Settings → Export data
leann index-chatgpt --export-path ~/Downloads/chatgpt-export.zip

# Claude: export from https://claude.ai → Settings → Export data
leann index-claude --export-path ~/Downloads/claude-export.json

Index WeChat

# Requires exported JSON files from wechat-exporter
leann index-wechat --export-dir ~/wechat-export/

Daily Automation

You can schedule indexing with cron for automatic daily updates:

# Edit crontab
crontab -e

# Add entries (runs at 2 AM daily):
0 2 * * * cd /path/to/LEANN && leann index-browser chrome
5 2 * * * cd /path/to/LEANN && leann index-email
10 2 * * * cd /path/to/LEANN && leann index-imessage

Searching Indexed Data

After indexing, search with the standard leann search command:

leann search browser_history "github pull request review"
leann search email "meeting notes from last week"
leann search imessage "dinner plans"