Voyage AI provides API-only access to embedding models and rerankers designed for search and retrieval workloads, including general-purpose, domain-specific (finance, legal, code), and company-specific fine-tuned variants. The core retrieval pipeline is straightforward: embed your documents, store vectors in any compatible vector database, then run a reranker pass to sort candidates before the LLM sees them. The vendor states vector dimensionality runs 3x–8x shorter than comparable models, which reduces storage and search cost at scale. A Batch API is available for large-scale processing jobs. There is no self-hosted option and no open weights — if your data cannot leave your infrastructure, this service does not fit.