RAG based Obsidian plugin for adding vault context to queries to LLMs
DISH RAG is an experimental Obsidian plugin that enables researchers to query local language models using their vault's notes as context, effectively creating a personalized research assistant. The plugin supports both simple queries and RAG-enhanced searches, allowing users to highlight text and receive AI-generated responses based on their own literature notes and observations. It's designed for researchers who use Obsidian to organize their work and want to leverage local LLMs like deepseek through ollama for contextual analysis of their research materials.
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