Contextualized Chunk Embeddings

voyage-context-3 is a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata and context augmentation. This leads to higher retrieval accuracies than with or without augmentation. The model is also simpler, faster, and cheaper. It serves as a drop-in replacement for standard embeddings without downstream workflow changes and reduces chunking strategy sensitivity.

To learn more, see the blog post.