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use-case-library

Identify Elasticsearch use-case categories and route developers to implementation guides.

Updated Feb 24, 2026
Search Tags:#routing#guidance#elasticsearch#vector-search#use-cases#hybrid-search#keyword-search
One-click install
npx skills add https://github.com/kevinsweet/elastic-ide-context --skill use-case-library
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: use-case-library
Source: https://github.com/kevinsweet/elastic-ide-context/tree/main/.cursor/skills/use-case-library
Command: npx skills add https://github.com/kevinsweet/elastic-ide-context --skill use-case-library

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Elasticsearch use-case library — the full map of what you can build, with industry examples and technologies. Use when a developer asks "what can Elastic do?", "what can I build?", "what use cases does Elasticsearch support?", "show me examples", or needs help choosing what to build.

Core Features & Use Cases

Present this library when a developer asks what they can build with Elasticsearch, wants to explore use cases, or needs help figuring out which category their project falls into. Walk through the relevant use cases conversationally — don't dump the entire list. Ask what resonates, then route to the appropriate implementation guide.

The Use Cases

1. Product & Catalog Search

Helps users find items in a structured catalog using full-text search, facets, and autocomplete.

2. Knowledge Base & Document Search

Lets users search long-form content and find relevant passages with semantic matching and highlighting.

3. AI-Powered Assistant / Chatbot

Build conversational agents that answer questions using data, with RAG pipelines and vector search.

4. Recommendations & Discovery

Suggests related content or products based on semantic similarity and behavior.

5. Customer Support Search

Helps agents find resolutions and customers self-serve with hybrid and semantic search.

6. Location-based Search

Finds results near a location using geo features and full-text search.

7. Log & Event Search

Analyze machine-generated data with fast indexing and time-based queries.

8. Vector Database (for AI/ML Pipelines)

Store and retrieve embeddings for RAG pipelines and semantic retrieval.

Quick Start

Tell me which Elasticsearch use-case aligns with my project and route me to the right implementation guide.

Frequently Asked Questions about use-case-library

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

FAQPage Schema
What can I build with Elasticsearch?▼

Elasticsearch supports product and catalog search, knowledge base search, AI-powered assistants, recommendations, customer support search, location-based search, log and event search, and vector database pipelines.

How do I know which Elasticsearch use case fits my project?▼

Identify your core search requirement, such as full-text, semantic matching, or conversational AI, to map it to an Elasticsearch use-case category and route to the corresponding implementation guide.

Does Elasticsearch support vector search for AI applications?▼

Yes, Elasticsearch provides a vector database use case for storing and retrieving embeddings, enabling RAG pipelines and semantic retrieval for AI-powered assistants and chatbots.

What is the difference between keyword search and hybrid search in Elasticsearch?▼

Keyword search uses full-text matching, facets, and autocomplete for structured catalogs, while hybrid search combines keyword and semantic vector matching for applications like customer support and knowledge base search.

Can I use Elasticsearch for log and event data analysis?▼

Yes, log and event search is a core Elasticsearch use case, providing fast indexing and time-based queries to analyze machine-generated data across various industries and project sizes.

When should I use Elasticsearch for recommendations and discovery?▼

Use Elasticsearch for recommendations and discovery when you need to suggest related content or products based on semantic similarity and user behavior data.

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