Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
How to install mongodb-search-and-ai?
mongodb/agent-skills/mongodb-search-and-ai
$npx -y skills add mongodb/agent-skills --skill mongodb-search-and-aiInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mongodb/agent-skills" --skill "mongodb/agent-skills/mongodb-search-and-ai"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mongodb/agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/mongodb/agent-skills"` and select the relevant skills, then follow their instructions.
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