MongoDB Atlas Vector Search
Free tierBuild intelligent applications powered by semantic search and generative AI with a native, full-featured vector database.
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MongoDB Atlas Vector Search leverages Lucene-based indexing (HNSW for Approximate Nearest Neighbor and flat indexes for exact search) natively within the Atlas platform, enabling vector queries to be combined with MongoDB's full aggregation pipeline, metadata filters, graph lookups, geospatial queries, and lexical (BM25) search in a single request. Dedicated Search Nodes provide workload isolation, allowing vector query compute to scale independently from the operational database layer. The platform supports Retrieval-Augmented Generation (RAG) patterns, agentic AI systems, and multitenant vector search architectures. Automated Embeddings (Voyage AI integration) handles embedding generation and synchronization directly in the database tier.
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