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opensearch-project
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opensearch-launchpad

Build OpenSearch search applications with index setup, vector search, and PDF ingestion.

40|41|Updated Apr 1, 2026
Search Tags:#search#vector#semantic#agentic#embedding#hybrid#opensearch
One-click install
npx skills add https://github.com/opensearch-project/opensearch-agent-skills --skill opensearch-launchpad
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opensearch-launchpad
Source: https://github.com/opensearch-project/opensearch-agent-skills/tree/main/skills/opensearch-skills/search/opensearch-launchpad
Command: npx skills add https://github.com/opensearch-project/opensearch-agent-skills --skill opensearch-launchpad

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

OpenSearch Launchpad reduces the time and complexity of building search apps by providing end-to-end guidance and runnable scaffolding for OpenSearch-based deployments.

Core Features & Use Cases

  • End-to-end workflow from requirements to a running search setup, including index design, vector/semantic search, and agentic strategies.
  • Comprehensive docs and scripts for quick-start, experimentation, and production readiness (BM25, dense/sparse vectors, hybrid, and agentic search).
  • Reference materials covering deployment patterns, data ingestion (PDF/doc processing), and performance tuning.

Quick Start

Instantiate the OpenSearch Launchpad and run the starter scripts to bring up OpenSearch and begin building your search app.

Frequently Asked Questions about opensearch-launchpad

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

FAQPage Schema
How do I set up an OpenSearch application with vector and semantic search?▼

OpenSearch application setup requires configuring index design, embedding ingestion, and dense vector search strategies. This Skill provides runnable scaffolding and scripts to build semantic and hybrid search deployments from scratch.

What do I need to run OpenSearch locally for application development?▼

Running OpenSearch locally requires Docker and uv for environment execution. Optional AWS credentials are needed only if you plan to deploy the search application to AWS services.

How does hybrid search combine BM25 and dense vectors in OpenSearch?▼

Hybrid search combines traditional BM25 keyword matching with dense and sparse vector embeddings. This Skill provides reference scripts and documentation to implement and tune these combined retrieval strategies.

Can I ingest PDF documents into an OpenSearch index?▼

PDF ingestion into OpenSearch is supported through provided document processing scripts. The Skill covers data ingestion workflows that extract and prepare text from PDFs for indexing and search.

What is the best way to build agentic search workflows with OpenSearch?▼

Building agentic search workflows involves combining semantic retrieval with automated reasoning strategies. This Skill provides end-to-end guidance and production-ready scripts to implement agentic search using OpenSearch.

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