Agent Skill · OpenSearch
search
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.
Skill body
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
Skill frontmatter
compatibility: Requires Docker and uv.
metadata: {"author" => "opensearch-project", "version" => "2.0"}
Work with this as data
Every skill here is available over the APIs.io API and to AI agents over MCP.