search

name	search
description	Build search applications with OpenSearch. Use this skill when the user mentions search app, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN, PDF ingestion, document processing, search quality evaluation, or any related search topic.
compatibility	Requires Docker and uv.
metadata	{"author":"opensearch-project","version":"2.0"}

Search

Category skill for building search applications with OpenSearch.

Skills

Skill	Description
opensearch-launchpad	End-to-end search application builder — from sample data to a running search UI with BM25, semantic, hybrid, or agentic search

When to Use

Read opensearch-launchpad/SKILL.md when the user wants to:

• Build a new search application
• Set up an OpenSearch index with a specific search strategy
• Deploy ML models for semantic or hybrid search
• Evaluate and tune search quality
• Process documents (PDF, DOCX) for search ingestion