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Embedding
Soon
Turn text into vectors for semantic search, similarity, and RAG pipelines.
Overview
Embedding
Generate embedding vectors for semantic search, clustering, deduplication, recommendation, and RAG (retrieval-augmented generation).
- Endpoint
- /v1/embeddings
- Example model
- embedding-large-v1
API
API example
curl https://api.openalchemy.io/v1/embeddings \
-H "Authorization: Bearer $OPENALCHEMY_API_KEY" \
-H "X-Project-Id: $YOUR_PROJECT_ID" \
-H "Content-Type: application/json" \
-d '{
"model": "embedding-large-v1",
"input": "Where is the best ramen in Tokyo?"
}'Status
Quota and pricing (per project)
Allotments and rate limits apply to the project that issued the API key. A second domain-scoped policy layer constrains which origins may invoke each modality.
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