Create Collection

POST /v1/vector_store View .md

Creates a vector store collection for searchable embeddings.

Body

application/json

Create Vector Store Request Payload

name string required

The name of the vector store collection. This is also used to auto-generate a unique ID for the record.

Responses

application/json · get-vector-store-response-payload

1 field

collection object

An object representing a vector store collection containing embeddings records.
3 fields
- id string
  
  The unique ID of the vector store collection.
- name string
  
  The name of the vector store collection.
- created string
  
  The UTC creation timestamp of the vector store collection in ISO 8601 format.

curl https://api.vultrinference.com/v1/vector_store \
  -H "Authorization: Bearer $VULTR_INFERENCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "string"
  }'

import os
import requests

response = requests.post(
    "https://api.vultrinference.com/v1/vector_store",
    headers={"Authorization": f"Bearer {os.environ['VULTR_INFERENCE_API_KEY']}"},
    json={
        "name": "string",
    },
)
print(response.json())

const response = await fetch("https://api.vultrinference.com/v1/vector_store", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.VULTR_INFERENCE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "name": "string"
  }),
});
console.log(await response.json());

Response · 201

{
    "collection": {
        "id": "string",
        "name": "string",
        "created": "string"
    }
}