@mastra/upstash

Upstash provider for Mastra that includes both vector store and database storage capabilities.

Installation

npm install @mastra/upstash

Vector Store Usage

import { UpstashVector } from '@mastra/upstash';

const vectorStore = new UpstashVector({
  url: process.env.UPSTASH_VECTOR_REST_URL,
  token: process.env.UPSTASH_VECTOR_TOKEN
});

// Add vectors
const vectors = [[0.1, 0.2, ...], [0.3, 0.4, ...]];
const metadata = [{ text: 'doc1' }, { text: 'doc2' }];
const ids = await vectorStore.upsert({
  indexName: 'my-namespace',
  vectors,
  metadata
});

// Query vectors
const results = await vectorStore.query({
  indexName: 'my-namespace',
  queryVector: [0.1, 0.2, ...],
  topK: 10,
  filter: { text: { $eq: 'doc1' } },
  includeVector: false
});

Vector Store Configuration

The Upstash vector store requires the following configuration:

• UPSTASH_VECTOR_REST_URL: Your Upstash Vector REST URL
• UPSTASH_VECTOR_TOKEN: Your Upstash Vector REST token
• UPSTASH_INDEX: Name of the index to use

Database Storage Usage

import { UpstashStore } from '@mastra/upstash';

const store = new UpstashStore({
  url: process.env.UPSTASH_REDIS_REST_URL,
  token: process.env.UPSTASH_REDIS_REST_TOKEN,
});

Database Storage Configuration

The Upstash store requires the following configuration:

• UPSTASH_REDIS_REST_URL: Your Upstash Redis REST URL
• UPSTASH_REDIS_REST_TOKEN: Your Upstash Redis REST token

Features

• Serverless vector database and key-value store
• Pay-per-use pricing
• Low latency global access
• REST API interface
• Built-in vector similarity search
• Durable storage for chat history and agent memory

Related Links

• Upstash Vector Documentation
• Upstash Redis Documentation