# vault-search

> vault-search — drpwchen-vault-search. Use this tool when you need to efficiently search and retrieve related notes within your Obsidian vault, leveraging local-first semantic search and personalized graph retrieval. It solves problems of information overload and disconnected knowledge by providing relevant results and suggestions through its interface of natural language queries and note outputs. Ideal for use when organizing and connecting large collections of notes and knowledge bases in Obsidian.

Canonical page: https://skillsregistry.net/skills/drpwchen-vault-search  
JSON: https://api.skillsregistry.net/v1/skills/drpwchen-vault-search

## Description

Local-first semantic search, Related Notes & RAG chat for your Obsidian vault — an Obsidian plugin (vault-search-obsidian) and an MCP server (vault-search-mcp) over one LanceDB + Ollama index, with Personalized-PageRank graph retrieval.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/drpwchen/vault-search)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "drpwchen-vault-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drpwchen-vault-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drpwchen-vault-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt