Mongodb Search And Ai
mongodb/agent-skills/skills/mongodb-search-and-aiby mongodbc370a63b27075008a92134686b24af3817edeb00Apache-2.0190 starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated today
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.
- c370a63b27075008a92134686b24af3817edeb00Currentcommit c370a63Published Oct 9, 2026
Source and attribution
Source:mongodb/agent-skillsinskills/mongodb-search-and-aiat commitc370a63
License: Apache-2.0
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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