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# Voyage AI Embeddings Go Native in MongoDB to Slash Costs and Boost Accuracy
- URL: https://www.theleftshift.com/voyage-ai-embeddings-go-native-in-mongodb-to-slash-costs-and-boost-accuracy/
- Published: 2025-07-24T07:54:59.000Z
- Updated: 2025-07-24T07:54:59.000Z
- Description: Voyage-context-3 can be accessed through MongoDB’s Atlas Vector Search private preview and the Voyage API.
- Author: Pritam Bordoloi 
- Tags: Databases

MongoDB has [officially integrated](https://blog.voyageai.com/2025/07/23/voyage-context-3/?ref=theleftshift.com) Voyage AI’s context-aware embedding technology into its Atlas platform, empowering developers with powerful tools for long-document understanding and retrieval—without changing their existing workflows. 

The centerpiece, voyage-context-3, combines chunk-level detail and full-document awareness to deliver up to 23% better retrieval accuracy while reducing vector database costs by over 99%.

> "This is precisely why we acquired Voyage earlier this year. It’s about giving developers building on MongoDB the best tools to deliver fast, reliable, and cost-effective AI. This is especially important for high-stakes AI use cases and in industries such as finance and healthcare, where precision and context are crucial," MongoDB CEO [Dev Ittycheria](https://www.linkedin.com/in/dittycheria/?ref=theleftshift.com), said.

Voyage-context-3 supports customisable vector dimensions (256–2048) and quantisation options built on efficient “Matryoshka learning”—maintaining accuracy while lowering storage requirements. As a “drop-in replacement” for existing vector systems, it dramatically boosts precision for legal documents, reports, and sensitive use cases in finance and healthcare.

> “When building AI that reads and reasons over documents…it’s critical to break those documents into smaller pieces…Voyage-context-3 changes that,” Ittycheria added.

Now available with 200 million free tokens, voyage-context-3 can be accessed through MongoDB’s Atlas Vector Search private preview and the Voyage API.