archive-search

Guide Solr searches in the Swedish National Archives with fuzzy matching and proximity operators.

17|2|Updated Jun 5, 2025
One-click install
npx skills add https://github.com/AI-Riksarkivet/ra-mcp --skill archive-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: archive-search
Source: https://github.com/AI-Riksarkivet/ra-mcp/tree/main/plugins/ra-mcp-tools/skills/archive-search
Command: npx skills add https://github.com/AI-Riksarkivet/ra-mcp --skill archive-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users find and discover historical documents within the Swedish National Archives by providing guidance on effective search strategies and tool usage.

Core Features & Use Cases

  • Tool Selection: Guides users on whether to use search_transcribed or search_metadata based on their research goal.
  • Transcription Quality Guidance: Emphasizes the importance of fuzzy search due to AI transcription errors.
  • Search Strategy: Outlines a step-by-step approach for maximum discovery, including pagination and exploring related terms.
  • Syntax Reference: Provides a quick reference for Solr query syntax, including wildcards, fuzzy matching, and Boolean operators.
  • Old Swedish Spelling: Lists common archaic spelling variants to improve search accuracy.
  • Proximity Search: Explains and demonstrates how to use proximity search for finding related terms within a specific word distance.
  • Use Case: A researcher looking for mentions of "witchcraft" in court records from the 17th century can use this guide to construct a robust query that accounts for potential OCR errors and archaic spellings, ensuring they don't miss relevant documents.

Quick Start

Use the archive-search skill to understand how to search for documents in the Swedish National Archives.

Frequently Asked Questions about archive-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search historical documents in the Swedish National Archives effectively?

Searching Swedish National Archives requires selecting between transcribed text or metadata tools, applying fuzzy matching for AI transcription errors, and using archaic spelling variants to maximize historical document discovery across Solr queries.

Why does fuzzy search matter for AI-generated transcriptions in historical archives?

Fuzzy search is essential for AI-generated transcriptions because automated recognition introduces errors, meaning exact term matching will miss relevant historical documents that contain minor spelling deviations in the archive.

What is the best way to find old Swedish spelling variants in archive metadata?

Finding old Swedish spelling variants involves consulting provided archaic spelling lists and applying Solr wildcard syntax to catch historical document variations, ensuring broader metadata and transcribed text discovery.

Can I use Solr query syntax for proximity search in the Swedish National Archives?

Yes, you can use Solr query syntax to execute proximity searches, locating related terms within a specific word distance in historical documents and transcriptions retrieved from the Swedish National Archives database.

When should I use search_transcribed versus search_metadata for historical research?

Use search_transcribed to locate specific text content inside historical documents and search_metadata to find structured catalog details, selecting the tool based on whether your research goal requires document text or archive metadata.

What are the limitations of searching AI-transcribed historical documents without wildcards?

Searching AI-transcribed historical documents without Solr wildcards severely limits discovery because exact matching fails to accommodate automated transcription errors and archaic Swedish spelling variants, causing relevant records to be missed.