Obsidian plugins with #ai-search#

The Smart Lookup plugin adds question first semantic search for your vault, so notes can be retrieved by meaning instead of exact phrase matches. It opens a dedicated lookup view where you enter a plain language query, inspect ranked results, expand previews and then open, link or reuse the most relevant match. The plugin makes a clear distinction between semantic retrieval and lexical search, which helps when you remember an idea but not the exact wording, file name or heading. It also works with the wider Smart Environment setup for indexing, exclusions and model handling, and can surface source level or block level results where that environment supports them. Core retrieval can run locally, and the workflow stays centered on reviewing previews before trusting a match.

The Tezcat plugin brings AI-powered semantic search to your notes using local or cloud-based embedding models. Inspired by the remembrance agent concept, it surfaces related content in real time-both at the note and section level-while you write. Results can be used to insert links, inject text, or jump to the source note. It supports both vector and hybrid search (combining vector similarity and full-text match) to improve relevance. Tezcat integrates best with [Ollama](https://ollama.com/download), letting you run local models privately. It also supports OpenAI embeddings for those preferring cloud-based setups. By indexing your thoughts intelligently, Tezcat enhances creative flow and contextual recall during writing.