The Large Language Models plugin integrates powerful AI models into Obsidian, allowing users to interact with LLMs from providers like OpenAI, Anthropic, and Google, as well as local models through GPT4All. It offers flexible options to open chat windows in the sidebar, tabs, or a floating popup for seamless access while working on notes. Users can switch between cloud-based and local models easily and manage settings like API keys directly within Obsidian.

The Smart Second Brain plugin enhances knowledge management in Obsidian by integrating AI-powered assistance to interact with notes. It enables users to chat with their notes using a retrieval-augmented generation (RAG) pipeline, offering references to original sources within the vault. The plugin supports various large language models, including local models via Ollama and cloud-based models like ChatGPT. Users can switch between models based on their needs and preferences. The plugin operates offline to ensure privacy and provides options to save and resume chat sessions.

The AI LLM plugin for Obsidian allows seamless integration with local LLM models like Ollama, enhancing your note-taking experience. Once set up, users can select text within notes and interact with a local LLM to modify or expand the content. This plugin is ideal for those looking to leverage the power of local AI models for generating or editing text within Obsidian. It supports simple commands like 'ASK LLM' to query the model, making it easy to get AI-generated content directly in your notes. It is especially useful for users with local computing resources and provides an offline solution for LLM-based tasks.

The AI Helper plugin enhances note-taking in Obsidian by enabling users to quickly summarize selected text using either a local language model or the OpenAI API. Once text is highlighted, users can generate a summary with a simple right-click, streamlining the process of distilling large chunks of content. The plugin provides flexibility in how summaries are handled—allowing insertion directly below the original text, placement at the top of the document, or copying to the clipboard for external use.

The AI Tagger Universe plugin automates tag management in Obsidian by analyzing note content and generating relevant tags using AI. It supports both local and cloud-based language models, including Ollama, LM Studio, LocalAI, and OpenAI-compatible APIs. The plugin intelligently matches existing tags while suggesting new ones, seamlessly integrating them into the note’s frontmatter. Users can configure AI endpoints, choose models, and customize tagging rules to fit their workflow.