Mongodb Search And Ai

mongodb/agent-skills/skills/mongodb-search-and-ai

作者 mongodbc370a63b27075008a92134686b24af3817edeb00Apache-2.0190 个星标收录于 2026年10月9日更新于 2026年10月9日仓库今天更新

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.