# Rust Local RAG

> Use this tool when you need to search and retrieve local documents quickly and efficiently, solving problems such as information retrieval from large PDF collections and research papers. It takes PDF documents as input, extracts text, and generates embeddings for semantic search, outputting relevant document results with configurable limits. Ideal for AI assistants requiring self-contained document search capabilities without relying on external services.

Canonical page: https://skillsregistry.net/skills/rust-local-rag  
JSON: https://api.skillsregistry.net/v1/skills/rust-local-rag

## Description

This MCP server provides local document search and retrieval capabilities using Rust for high-performance PDF processing and semantic search. Built by Mehmet Koray Sariteke, it integrates with Ollama's nomic-embed-text model for generating embeddings and uses poppler's pdftotext for text extraction, automatically indexing PDF documents from a specified directory and storing embeddings locally for fast retrieval. The implementation offers tools for semantic document search with configurable result limits, document listing, and system statistics, making it valuable for AI assistants that need to search through local document collections, research papers, or knowledge bases without relying on external services.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rust-local-rag)
- **Repository:** <https://github.com/ksaritek/rust-local-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": "rust-local-rag"
    }
  }
}
```

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