Upstash Vector

by upstash.com

Embeddings and reranking Added on November 3rd, 2026

What it does

Upstash Vector is a serverless vector database with a REST API: upsert vectors, or raw text that a built-in model embeds, and query by similarity with metadata filters, for example for chatbot memory. Each index has its own REST URL and token. Free plan with up to 10 indexes, 1 GB of data and 10,000 queries and updates a day; pay as you go after adding a card. An official MCP server (npm package @upstash/mcp-server, remote at https://mcp.upstash.com/mcp) lets AI agents manage Upstash databases, including Vector.

API
JSON
MCP
REST

At a glance

API key: Needed, free · More APIs with a free key
Pricing: Free plan with up to 10 indexes, 1 GB of data and 10,000 queries and updates a day; pay as you go after adding a card.
Formats: JSON
Interface: REST, MCP
Provider: upstash.com

More information: https://upstash.com/docs/vector/overall/getstarted

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HTML

<a href="https://free-web-services.com/web-services/ai/embeddings/upstash-vector.html"><img src="https://free-web-services.com/badge.svg" width="208" height="44" alt="Listed on Free Web Services" /></a>

Markdown

[![Listed on Free Web Services](https://free-web-services.com/badge.svg)](https://free-web-services.com/web-services/ai/embeddings/upstash-vector.html)

Example request

curl

curl -X POST 'https://YOUR_INDEX-us1-vector.upstash.io/query-data' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{"data":"What is a vector database?","topK":3,"includeMetadata":true}'

JavaScript

const response = await fetch("https://YOUR_INDEX-us1-vector.upstash.io/query-data", {
  method: 'POST',
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({"data":"What is a vector database?","topK":3,"includeMetadata":true}),
});
const data = await response.json();
console.log(data);

Python

import requests

response = requests.post(
    "https://YOUR_INDEX-us1-vector.upstash.io/query-data",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "data": "What is a vector database?",
        "topK": 3,
        "includeMetadata": True,
    },
    timeout=30,
)
print(response.json())

Replace YOUR_INDEX and YOUR_API_KEY with your own values from your account.