Freemium

Supabase Vector API

Supabase Vector API enables developers to perform efficient vector similarity searches within their Supabase databases. Designed to integrate seamlessly with Supabase's open-source backend, this API supports various AI and machine learning workflows. It offers freemium access, allowing developers to start building advanced search and recommendation systems quickly.

1

Endpoints

0

Views

Jul 20, 2025

Last Checked

NaN

Rate Limit

API Endpoints

Generates vector embeddings from text

Full URL

https://project.supabase.co/rest/v1/vector/vectors

Code Examples

curl -X POST 'https://project.supabase.co/rest/v1/vector/vectors' \
  -H 'Authorization: Bearer YOUR_API_KEY'

Parameters

{
  "text": "The capital of France is Paris",
  "model": "text-embedding-ada-002"
}

Example Response

{
  "model": "text-embedding-ada-002",
  "usage": {
    "prompt_tokens": 7
  },
  "embedding": [
    0.1,
    -0.2,
    0.3
  ]
}

Version

v1

Rate Limit

1000 vectors/minute
Tags
embeddingsvector-database
Technical Details
Authentication
API Key
Response Formats
JSON
Availability
global
Status
Published
Rate Limits

Free tier available

Supported Languages
JavaScriptPython
Use Cases
ai memory
similarity search

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