Unlocking AI Search: Introducing Automated Embedding in MongoDB Vector Search
MongoDB, Tuesday, November 3rd, 2026
MongoDB introduced Automated Embedding in MongoDB Vector Search, generating embeddings natively with Voyage AI models.
MongoDB announced Automated Embedding in MongoDB Vector Search, initially in public preview including in MongoDB Community Edition, and later updated to general availability on MongoDB Atlas as of August 12, 2026.
The feature generates vector embeddings automatically inside MongoDB using models from Voyage AI, which MongoDB acquired.
MongoDB says this removes the need for developers to choose and integrate external embedding providers in application code and to keep embeddings in sync with every insert and update.
It is aimed at semantic search, recommendation engines, RAG applications and AI agents.