Power your AI application with Vector Search

MongoDB's vector search capability is becoming a standard feature in databases, enabling powerful AI applications through semantic queries. This technology lets users find similar content by meaning rather than exact keyword matches, powers personalized recommendations, and enables retrieval-augmented generation (RAG) for more accurate AI responses. Vectors—numerical representations of content—allow MongoDB to find semantically similar items efficiently using the HNSW algorithm, with the platform recently acquiring Voyage AI to enhance these capabilities.