# vast-rag

> vast-rag — ssotoa70-vast-rag. Use this tool when you need to perform semantic searches over VAST Data documentation, leveraging natural language processing to find relevant information within ChromaDB. It solves problems of information retrieval and knowledge discovery, providing accurate search results through sentence-transformers. Input your search queries and receive relevant outputs, ideal for use cases where traditional search methods fall short, such as complex technical documentation searches.

Canonical page: https://skillsregistry.net/skills/ssotoa70-vast-rag  
JSON: https://api.skillsregistry.net/v1/skills/ssotoa70-vast-rag

## Description

MCP server for semantic search over VAST Data documentation (ChromaDB + sentence-transformers)

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **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/ssotoa70/vast-rag)

## 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": "ssotoa70-vast-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ssotoa70-vast-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ssotoa70-vast-rag/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