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Create Embeddings

Turn text into a fixed-size numerical vector. Embeddings capture semantic meaning — similar concepts cluster together in vector space even when worded differently. Use them for search, recommendations, clustering, or as input to a classifier.

POST 
/v1/embeddings

Convert text into a numerical vector. Use embeddings to measure semantic similarity, build search indexes, or feed into a vector database.

curl -X POST https://inference.wiline.com/v1/embeddings \
  -H "Authorization: Bearer $WEC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"text-embedding-3-small","input":"WiLine Edge Cloud is a distributed AI infrastructure platform."}'

Request​

Responses​

Successful Response