Solution introduction

Build intelligent applications powered by semantic search and generative AI using native, full-featured vector database capabilities

The combined power of vectors and MongoDB

Unparalleled simplicity
Avoid the synchronization tax. With Atlas Vector Search built into the core database, there’s no need to sync data between your operational and vector databases—saving time, reducing complexity, and preventing errors. Your operational and vector data stay in one place.

Powerful query capabilities
Easily combine vector queries with filters on meta-data, graph lookups, aggregation pipelines, geo-spatial search, and lexical search for powerful hybrid search use cases within a single database.

Superior scaling for vector search apps
Unlike other solutions, MongoDB’s distributed architecture scales vector search independently from the core database. This enables true workload isolation and optimization for vector queries, resulting in superior performance at scale.

Enterprise-ready vector database
Security and high availability are built in. Because vector data is stored directly in Atlas with your operational data, you can rest assured your workloads are running with the same trusted enterprise-grade security and availability MongoDB is known for.

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