by David Jayatillake

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Description

Category: Note Enhancements

#auto-tagging #llm #local-ai #metadata #ollama

The LLM Tagger plugin enhances note organization in Obsidian by using locally running large language models via Ollama to automatically generate relevant tags. It processes notes efficiently, avoiding re-tagging unchanged files, and can create brief summaries alongside the generated tags. Users can customize their tag list for more focused categorization and select different LLM models for processing. The plugin also supports an auto-tagging feature that applies tags to newly created or modified notes. With local processing, it ensures privacy and speed while maintaining a seamless tagging workflow.

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Stats

16

stars

1,376

downloads

6

forks

283

days

247

days

247

days

1

total PRs

0

open PRs

0

closed PRs

1

merged PRs

5

total issues

3

open issues

2

closed issues

0

commits

Latest Version

8 months ago

Changelog

LLM Tagger 1.1.2 Release

What's New in 1.1.2

This release adds support for custom Ollama server configurations, making the plugin more flexible for different network setups:

New Features

Custom Ollama URL: Configure the URL of your Ollama API server
Remote Ollama Support: Connect to Ollama instances running on different machines
Dynamic Model Loading: Models are automatically reloaded when changing the server URL
Improved Error Handling: Better feedback when connection issues occur

Use Cases

This update is particularly useful for:

Users running Ollama on a different machine in their network
Custom port configurations
Docker or containerized Ollama setups
Corporate environments with specific network requirements

Installation

Download the main.js, manifest.json, and styles.css files
Place them in your vault's .obsidian/plugins/obsidian-llm-tagger/ directory
Reload Obsidian and enable the plugin in Community Plugins settings

Feedback

If you encounter any issues or have suggestions for improvements, please open an issue on GitHub.

Thank you for using LLM Tagger!

See all version on GitHub

README file from

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