| name | local-rag-search |
| description | Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities. |
Local RAG Search Skill
This skill enables you to effectively use the mcp-local-rag MCP server for intelligent web searches with semantic ranking. The server performs RAG-like similarity scoring to prioritize the most relevant results without requiring any external APIs.
Available Tools
1. rag_search_ddgs - DuckDuckGo Search
Use this for privacy-focused, general web searches.
When to use:
- User prefers privacy-focused searches
- General information lookup
- Default choice for most queries
Parameters:
query: Natural language search querynum_results: Initial results to fetch (default: 10)top_k: Most relevant results to return (default: 5)include_urls: Include source URLs (default: true)
2. rag_search_google - Google Search
Use this for comprehensive, technical, or detailed searches.
When to use:
- Technical or scientific queries
- Need comprehensive coverage
- Searching for specific documentation
3. deep_research - Multi-Engine Deep Research
Use this for comprehensive research across multiple search engines.
When to use:
