Venice Embeddings

POST /api/v1/embeddings returns vector embeddings for strings. It's OpenAI-compatible: request and response match https://api.openai.com/v1/embeddings closely enough that the OpenAI SDK works with baseURL: "https://api.venice.ai/api/v1", with one exception: token-ID arrays are not accepted (see below).

Auth: Bearer API key or x402 wallet (SIGN-IN-WITH-X) — see venice-auth.

Use when

• You're building retrieval / RAG / similarity search.
• You need text clustering, classification, deduplication, or reranking features.
• You want embeddings from a model Venice runs as Private (most of the catalog) rather than an anonymized third-party one — check model_spec.privacy on each model.

Text-only: input must be a string or an array of strings. For images, run them through a vision chat model and embed the description.

Minimal request