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chore: drop stale 'new package' wording from embed changeset
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.changeset/embed-activity-multimodal.md

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Add a multimodal `embed()` activity. A single primitive covers one input or a batch — `input` accepts a string, a text part, an image part, or a fused text+image item written as a nested `Array<ContentPart>` (`[textPart, imagePart]`, the same shape chat messages use), one vector per item, with the accepted item types narrowed per model at compile time. Top-level `dimensions` requests Matryoshka output sizes where supported. Results carry `embeddings: [{ vector, index }]` plus `usage` when the provider reports it, and `embed()` participates in generation middleware, debug logging, OTel (`gen_ai.operation.name: embeddings`), and devtools events like every other activity.
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Provider adapters: `openaiEmbedding` (text-embedding-3-small/large), `geminiEmbedding` (gemini-embedding-001), `mistralEmbedding` (mistral-embed, codestral-embed), `ollamaEmbedding` (nomic-embed-text and any local model), `bedrockEmbedding` (Titan Text V2, Titan Multimodal G1 with fused text+image, Cohere Embed v3 on Bedrock), and the new `@tanstack/ai-cohere` package's `cohereEmbedding` (embed-v4.0, multimodal text+image with required `inputType`).
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Provider adapters: `openaiEmbedding` (text-embedding-3-small/large), `geminiEmbedding` (gemini-embedding-001), `mistralEmbedding` (mistral-embed, codestral-embed), `ollamaEmbedding` (nomic-embed-text and any local model), `bedrockEmbedding` (Titan Text V2, Titan Multimodal G1 with fused text+image, Cohere Embed v3 on Bedrock), and `@tanstack/ai-cohere`'s `cohereEmbedding` (embed-v4.0, multimodal text+image with required `inputType`).

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