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Embeddings & Vector SearchCohere

Cohere releases Embed v4

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Released Embed v4 — 128K context, unified embeddings for mixed image+text input, support for Matryoshka dimensions (256/512/1024/1536)

Why it matters

Commercial embedding competition moved beyond text search to long documents and mixed-modality search

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

Officialdocs.cohere.comhttps://docs.cohere.com/changelog/embed-multimodal-v4

Added in Week 35, 2026 · See that week

On the map — ⑰ Embeddings line

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  2. This record · stopEmbed v4
  3. Next stopAmazon makes Nova Multimodal Embeddings generally available on Bedrock
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Same week

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Nearby on the same axis

Cornell Tech researchers present Harnessing the Universal Geometry of EmbeddingsPaperGoogle DeepMind researchers present Gemini EmbeddingPaperLanceDB announces a $30 million Series A and launches its Multimodal LakehouseOfficialMongoDB announces its acquisition of Voyage AI (terms undisclosed)Official