# ts-RAG

> ts-RAG — guspaz0-ts-rag. Use this tool when you need to locally manage and query document embeddings, and solve problems related to information retrieval and semantic search. It ingests documents, creates embeddings, and stores them in pgvector, allowing for querying through a CLI or MCP server. Ideal for use cases requiring fully local and private document analysis, such as research or sensitive data processing.

Canonical page: https://skillsregistry.net/skills/guspaz0-ts-rag  
JSON: https://api.skillsregistry.net/v1/skills/guspaz0-ts-rag

## Description

Ts RAG system. ingest documents, creates embeddings, stores in pgvector and query through cli or mcp server. fully local with node-llama-cpp

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/guspaz0/ts-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": "guspaz0-ts-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guspaz0-ts-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guspaz0-ts-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