vault-semantic-search

Search vault notes by meaning using semantic embeddings and RAG.

515|64|Updated Oct 23, 2024
One-click install
npx skills add https://github.com/allenhutchison/obsidian-gemini --skill vault-semantic-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vault-semantic-search
Source: https://github.com/allenhutchison/obsidian-gemini/tree/main/prompts/bundled-skills/vault-semantic-search
Command: npx skills add https://github.com/allenhutchison/obsidian-gemini --skill vault-semantic-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Vault notes are often hard to locate when exact keywords fail to capture the intended meaning. Semantic search surfaces concept-based results by connecting ideas across notes, reducing time spent hunting for related content.

Core Features & Use Cases

  • Semantic search across vault content using retrieval-augmented generation (RAG) to surface concept-based results.
  • Optional filtering by folder paths and Obsidian tags for focused results.
  • Cross-note discovery that surfaces related ideas and topics across the vault.

Quick Start

Ask it to find notes by concept, for example: locate notes about project management methodologies.

Frequently Asked Questions about vault-semantic-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search my Obsidian vault by meaning instead of exact keywords?

Semantic search finds Obsidian vault notes by meaning using retrieval-augmented generation, surfacing concept-based results even when exact keywords fail to match your intended query.

What is the best way to find notes about a concept across an entire vault?

Semantic search connects related ideas across your vault, allowing you to locate notes by concept rather than exact text matches, reducing time spent hunting for related content.

Can I filter semantic search results by folders and tags?

Yes, semantic search supports optional filtering by folder paths and Obsidian tags, allowing you to focus concept-based retrieval results on specific areas of your vault.

Do I need a vault index with embeddings to perform semantic search?

Yes, semantic search requires a vault index with semantic embeddings to rank notes by meaning and surface concept-based results using a retrieval-augmented approach.

When should I use semantic search over keyword search in my notes?

Semantic search applies when exploring topics across vaults, linking related notes, or when keyword search returns poor or missing results due to mismatched vocabulary.