skills.rest
Arupbiswas09
Arupbiswas09COMMUNITY
Explore all skills by this author →
WebsiteGitHub

distributed-search

Implement relevance-based text search with inverted index and TF-IDF/BM25 ranking.

Updated Jul 5, 2026
Search Tags:#full-text search#Elasticsearch#text search#search engine#relevance ranking
One-click install
npx skills add https://github.com/Arupbiswas09/claude_skills --skill distributed-search
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: distributed-search
Source: https://github.com/Arupbiswas09/claude_skills/tree/main/skills/distributed-search
Command: npx skills add https://github.com/Arupbiswas09/claude_skills --skill distributed-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires elasticsearch, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps in designing and implementing advanced text search capabilities for systems that require fast, relevance-based search over large text datasets.

Core Features & Use Cases

  • Full-Text Search: Search entire text documents, including body, titles, and tags.
  • Relevance Ranking: Apply TF-IDF/BM25 for relevance ranking and near-real-time indexing.
  • Faceted Search: Enable users to filter and refine search results with facets.
  • Use Case: Use this Skill in content management systems, product catalogs, or knowledge bases where users need to perform detailed and accurate text searches.

Quick Start

Run the 'start-project' skill and set up the distributed search for your project.

Frequently Asked Questions about distributed-search

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

FAQPage Schema
How do I implement full-text search with relevance ranking for large datasets?▼

Full-text search with relevance ranking is implemented using an inverted index and ranking algorithms like TF-IDF or BM25, enabling fast, relevance-based search over large text datasets.

What is faceted search and when do I need it for my content management system?▼

Faceted search is a filtering mechanism that allows users to refine search results using multiple categories. It is needed in content management systems, product catalogs, or knowledge bases requiring detailed text searches.

Do I need Elasticsearch to use distributed search capabilities?▼

Yes, you need Elasticsearch or a similar search engine to function, as the distributed search capabilities rely on its underlying architecture for near-real-time indexing and inverted index operations.

How does near-real-time indexing work with TF-IDF and BM25 ranking?▼

Near-real-time indexing updates the inverted index quickly so changes appear in search results almost immediately, while TF-IDF and BM25 algorithms calculate relevance scores to rank those results.

What's the best way to set up a distributed text search engine for a product catalog?▼

The best way to set up a distributed text search engine for a product catalog is to run the start-project skill and configure the search engine to apply inverted indexing and faceted search.

Related Skills

Explore More Software Engineering Skills→
incidentfoxincidentfox
654

elasticsearch-analysis

Analyze Elasticsearch/OpenSearch logs to identify incident root causes.

Official
Intermediate
ryan-nguyen-01ryan-nguyen-01
4

skill-arch-search

Design scalable search architectures with indexing pipelines, query DSL, and ranking strategies.

Community
Advanced
proyecto26proyecto26
42

distributed-search

Architects distributed search systems with indexing pipelines, sharding strategies, and BM25 ranking models.

Official
Advanced
HeldinhowHeldinhow
4

elasticsearch-search

Implement scalable full-text search with Elasticsearch Query DSL and aggregations.

Community
Advanced