MCP App StoreMCP App Store
from opensearch-agent-skills7
Guides users to design, build, and run OpenSearch-based search applications — from data ingestion and index design to semantic/hybrid search and evaluation.
This skill provides a step-by-step workflow and operational scripts for building search applications with OpenSearch. It helps the agent collect sample documents, choose search strategies (BM25, dense vectors, neural sparse, hybrid, agentic), design an architecture, run OpenSearch locally with Docker, and evaluate search quality.
Use this skill when the user asks about search application design, index setup, semantic or vector search, relevance tuning, RAG, PDF/document ingestion, or deploying search to AWS OpenSearch. It's triggered by queries about search architecture, embeddings, BM25, hybrid search, agentic search, or evaluation metrics like nDCG and precision.
Best used by agents with CLI and orchestration capabilities (agents that can run Docker and Python scripts) such as Claude Code, Gemini/agentic CLI flows, or Copilot-like automation agents.
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