Tools
Hybrid Embeddings
Generate dense + sparse + ColBERT embeddings using BGE-M3. Ideal for hybrid search combining BM25 and vector similarity.
Base URL & authentication
Base URL: https://api.openadapter.in
All requests need an Authorization: Bearer sk-cv-... header. Generate or copy your API key from the Dashboard → API Keys page.
Endpoint: POST /v1/edge/embeddings/hybrid
Cost per call: 0.15 credits
Minimum plan: free
Generate dense + sparse + ColBERT embeddings using BGE-M3. Ideal for hybrid search combining BM25 and vector similarity.
Request
curl https://api.openadapter.in/v1/edge/embeddings/hybrid \
-H "Authorization: Bearer $OPENADAPTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"input":"Search query"}'import requests
resp = requests.post(
"https://api.openadapter.in/v1/edge/embeddings/hybrid",
headers={"Authorization": f"Bearer {API_KEY}"},
json={
"input": "Search query",
"model": "bge-m3",
},
)
print(resp.json())const res = await fetch('https://api.openadapter.in/v1/edge/embeddings/hybrid', {
method: 'POST',
headers: {
Authorization: `Bearer ${process.env.OPENADAPTER_API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
"input": "Search query",
"model": "bge-m3"
}),
});
console.log(await res.json());Pricing
Each call costs 0.15 credits. Available on the free plan and above.