Voyage

A general-purpose reranker optimized for retrieval accuracy.

A fast, cost-effective reranker optimized for latency-sensitive retrieval.

Optimized for general-purpose and multilingual retrieval quality. All embeddings created with the 4 series are compatible with each other.

The best general-purpose and multilingual retrieval quality. All embeddings created with the 4 series are compatible with each other.

Optimized for latency and cost. All embeddings created with the 4 series are compatible with each other.

A generalist reranker optimized for quality with instruction-following and multilingual support.

A generalist reranker optimized for both latency and quality with instruction-following and multilingual support.

Voyage AI's embedding model optimized for general-purpose and multilingual retrieval quality.

Voyage AI's embedding model optimized for latency and cost.

Voyage AI's embedding model with the best general-purpose and multilingual retrieval quality.

Voyage AI's embedding model optimized for code retrieval.

Voyage AI's embedding model optimized for finance retrieval and RAG.

Voyage AI's embedding model optimized for legal retrieval and RAG.

Voyage AI's embedding model optimized for code retrieval (17% better than alternatives). This is the previous generation of code embeddings models.