TL;DR – We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata…| Voyage AI
Today, we are excited to announce that we’ve joined MongoDB! When we founded Voyage AI in 2023, our mission was to help developers build the best retrieval systems to power intelligent AI applicati…| Voyage AI
Model Choices Voyage currently provides the following text embedding models: Model Context Length (tokens) Embedding Dimension Description voyage-3-large 32,000 1024 (default), 256, 512, 2048 The best general-purpose and multilingual retrieval quality. See blog post for details. voyage-3 32,000 1024...| Voyage AI