Embeddings & Vector SearchVoyage AI (MongoDB)Voyage AI

Voyage AI releases voyage-context-3

voyage-context-3 released — processes the whole document in one pass, injecting global context into chunk embeddings. 20.54% better than contextual retrieval; binary/512 cuts storage costs by 99.48% compared with float/3072 (company-reported)

Why it matters

Absorbs chunking, a fundamental flaw of RAG, into the model itself

Source — Primary sources first; secondary reports are labelled “Press”

Officialmongodb.comhttps://www.mongodb.com/company/blog/product-release-announcements/voyage-context-3-focused-chunk-level-details-global-document-context

Added in Week 35, 2026 · See that week

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