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Endpoint · inferencePOSTx402.agentutility.ai/text-embedding

Embeds 1 to 100 strings into semantic vectors via Venice.
Read moreEmbeds 1 to 100 strings into semantic vectors via Venice. Tier shorthand: 'default' → gemini-embedding-2-preview (newest, recommended), 'fast' → text-embedding-bge-m3, 'openai-compat' → text-embedding-3-small. You can also pass a full Venice embedding model name. Returns a list of vectors aligned with input order. Use it for text embedding, vector embedding, Venice embeddings, Gemini embeddings, or BGE-M3.
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0x6c0752c0…9ebb5621
URL
https://x402.agentutility.ai/text-embedding
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first 34 days ago · last 9 hr ago
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?Description
Embeds 1 to 100 strings into semantic vectors via Venice. Tier shorthand: 'default' → gemini-embedding-2-preview (newest, recommended), 'fast' → text-embedding-bge-m3, 'openai-compat' → text-embedding-3-small. You can also pass a full Venice embedding model name. Returns a list of vectors aligned with input order. Use it for text embedding, vector embedding, Venice embeddings, Gemini embeddings, or BGE-M3.
URL
https://x402.agentutility.ai/text-embedding
Method
POST
Class
inference
?Checkable to
L1
Endpoint id
cap_01M1A59YRXQG0KEB1B02YKYH23
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