embeddings

Vector search and embeddings in MongoDB

Semantic search stores embedding vectors next to documents and finds nearest neighbors with $vectorSearch. This chapter generates embeddings through Voyage AI, defines vector indexes on Atlas, runs hybrid queries with $rankFusion, and sketches a small RAG retrieval function in TypeScript.

November 1, 2026 · Databases / MongoDB / Search and AI

• mongodb
• database
• ai
• embeddings