veriEmbedding
What is this model?
A model hosted by Qevron on our own GPU infrastructure.
Capability & type
| Capability | Embedding — Capability page |
| Model type | Embedding (type=3) |
| Base model | BAAI/bge-m3 |
| Provider | arpanet (local / self-hosted) |
| Streaming | — |
Endpoint
POST /v1/embeddingsBase URL: https://app.qevron.ai/v1
Authentication
Every request needs the Authorization: Bearer <KEY> header.
Authorization: Bearer <KEY>Request schema & parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | ✓ | veriEmbedding |
input | string | string[] | ✓ |
Response schema
json
{
"object": "list",
"data": [{"object": "embedding", "index": 0, "embedding": [0.01, -0.02, "..."]}],
"model": "veriEmbedding",
"usage": {"prompt_tokens": 0, "total_tokens": 0}
}Code examples
curl
bash
curl https://app.qevron.ai/v1/embeddings \
-H "Authorization: Bearer $QEVRON_KEY" -H "Content-Type: application/json" \
-d '{"model": "veriEmbedding", "input": ["first text", "second text"]}'Python
python
from openai import OpenAI
client = OpenAI(api_key="$QEVRON_KEY", base_url="https://app.qevron.ai/v1")
r = client.embeddings.create(model="veriEmbedding", input=["first text", "second text"])
print(len(r.data[0].embedding))Pricing
| Input | Output | Unit |
|---|---|---|
| $0.00002 | — | 1K tokens |
Rate limits
RPM/TPM are governed by your group quota. Check your current quota with: GET /v1/dashboard/billing/quota.
Related
- Capability page: Embedding
- All local models: Local Models