What it is: Native Reranking enables developers to improve retrieval accuracy using Voyage AI reranking models directly from the MongoDB aggregation pipeline. A single new stage, $rerank, can improve retrieval accuracy by an average of 23.84% over full-text search and 10.82% over vector search when using Voyage rerank-2.5 compared to non-reranked results.

Who it's for: Atlas developers building RAG applications, search and recommendation engines, or AI agents.

Why it matters: Previously, adding a reranker model to your retrieval pipeline meant calling a separate API outside your query layer, handling reordering in application code, and managing additional credentials and billing. Native Reranking eliminates that complexity: $rerank is now a single stage in the same pipeline you're already using in MongoDB.

How to get started: Native Reranking is now available in Atlas for clusters running Latest Version with Auto-Upgrades (MongoDB 8.3). Learn more in the documentation.