mongodb-ai

MongoDB Atlas Vector Search and AI integration. Use when creating vector indexes, writing $vectorSearch queries, building RAG applications, implementing hybrid search, or storing AI agent memory. Triggers on "vector search", "vector index", "$vectorSearch", "embedding", "semantic search", "RAG", "retrieval augmented generation", "numCandidates", "similarity search", "cosine similarity", "hybrid search", "$rankFusion", "$scoreFusion", "rerank", "two-stage retrieval", "AI agent", "LLM memory", "quantization", "multi-tenant", "Search Nodes", "explain vectorsearch", "HNSW", "automated embedding", "autoEmbed", "Voyage AI", "voyage-4", "voyage-4-large", "voyage-code-3", "input_type", "asymmetric retrieval", "lexical prefilter", "fuzzy search vector", "phrase filter".