Embeddings API

Generate text embeddings for semantic search, RAG, clustering, and similarity matching. Compatible with the OpenAI embeddings endpoint.

Endpoint

POST https://aiwave.live/v1/embeddings

Example Request

curl https://aiwave.live/v1/embeddings \
  -H "Authorization: Bearer sk-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "The quick brown fox jumps over the lazy dog"
  }'

Use Cases

RAG (Retrieval-Augmented Generation)

Store document embeddings in a vector database, retrieve relevant chunks at query time. Learn more →

Semantic Search

Find similar documents, products, or content based on meaning, not just keywords.

Get API Key →