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MongoDB Atlas Vector Search

Free tier

Build intelligent applications powered by semantic search and generative AI with a native, full-featured vector database.

Free tier available·All audiences·Powered by Voyage AI·API available

Key strengths

Unified operational and vector data in a single database (no sync required)Automated Embedding with Voyage AI models managed by AtlasHybrid search combining vector, lexical, geospatial, and aggregation queriesIndependent scaling of vector search via Search NodesEnterprise-grade security and high availabilityNative reranking with Voyage AI reranker modelsAvailable on-premises via Enterprise Advanced and Community Edition
Free tier + paid plans
New York, USA
Founded 2007
Self-hostable

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Recent changes

  • Plans updated: Free tier at $0/hour (512MB storage, shared RAM/vCPU). Flex tier at $0.011/hour (up to $30/month, 5GB storage). Dedicated tier starting at $0.08/hour ($56.94/month, 10GB–4TB storage). Atlas Infinite at $0.09/hour (public preview).
  • Models updated: Voyage AI
  • Self-hosting: now available
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MongoDB Atlas Vector Search — Technical Overview

MongoDB Atlas Vector Search enables developers to build AI-powered applications directly on their live operational data in MongoDB — eliminating the need for a separate, dedicated vector database. It supports vector search, hybrid search, and generative AI workloads (including RAG pipelines and agentic systems) within the same MongoDB cluster that already stores your application data.

Key architectural strengths:

  • Unified data layer: Vector embeddings live alongside operational documents — no ETL pipelines or data synchronization required.
  • Automated Embeddings: Atlas manages embedding generation via integrated Voyage AI models, removing the need to orchestrate external embedding services.
  • Hybrid search: Combine vector similarity search with lexical (full-text), geospatial, and MongoDB aggregation pipeline queries in a single request.
  • Independent scaling: Dedicated Search Nodes allow vector search compute to scale independently from your operational database workload.
  • Native reranking: Built-in support for Voyage AI reranker models to improve result relevance post-retrieval.
  • Deployment flexibility: Available as a fully managed cloud service (Atlas) or self-hosted via Enterprise Advanced and Community Edition.
  • Integrations: Voyage AI (embeddings & reranking), Okta (identity & access management).

Pricing tiers:

TierRateNotes
Free$0/hour512 MB storage, shared RAM/vCPU
Flex$0.011/hourUp to $30/month, 5 GB storage
Dedicatedfrom $0.08/hour$56.94/month, 10 GB–4 TB storage
Atlas Infinite$0.09/hourPublic preview
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