Mongodb Search And Ai

mongodb/agent-skills/plugins/mongodb-atlas/.agy-plugin/skills/mongodb-search-and-ai

by 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.

Only the file list is public. File contents are available once the skill is installed in a workspace.

PathSizeType
references/automated-embedding.md15.5 KBtext/markdown
references/hybrid-search.md23.1 KBtext/markdown
references/lexical-search-indexing.md19.5 KBtext/markdown
references/lexical-search-querying.md17.5 KBtext/markdown
references/vector-search.md18.7 KBtext/markdown
SKILL.md6.8 KBtext/markdown

Source and attribution

Source:mongodb/agent-skillsinplugins/mongodb-atlas/.agy-plugin/skills/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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