voyage-3.5 and voyage-3.5-lite: improved quality for a new retrieval frontier

TL;DR – We’re excited to introduce voyage-3.5 and voyage-3.5-lite , the latest generation of our embedding models. These models offer improved retrieval quality over voyage-3 and voyage-3-lite at the same price, setting a new frontier for price-performance. Both models support embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options enabled by Matryoshka learning and quantization-aware training. voyage-3.5 and voyage-3.5-lite outperform OpenAI-v3-large by 8.26% and 6.34%, respectively, on average across evaluated domains, with 2.2x and 6.5x lower respective costs and a 1.5x smaller embedding dimension. Compared with OpenAI-v3-large (float, 3072), voyage-3.5 (int8, 2048) and voyage-3.5-lite (int8, 2048) reduce vector database costs by 83%, while achieving higher retrieval quality. Today, we’re excited to introduce voyage-3.5 and voyage-3.5-lite , which maintain the same sizes as their predecessors— voyage-3 and voyage-3-lite —but offer improved quality for ... Read full article.