Managing a vector database on AWS is expensive and time-consuming

const database = new cdk.CfnResource(this, 'SvectorDatabase', {
    type: 'SvectorDB::VectorDatabase::Database',
    properties: {
        IntegrationId: '...', // Replace with your integration key
        Name: 'My first database',
        Metric: 'EUCLIDEAN',
        Dimension: 1024,
        Type: 'SANDBOX'
    }
});

const apiKey = new cdk.CfnResource(this, 'SvectorDatabaseApiKey', {
    type: 'SvectorDB::VectorDatabase::ApiKey',
    properties: {
        IntegrationId: '...', // Replace with your integration key
        DatabaseId: database.ref
    }
});

const lambdaFunction = new lambda.Function(this, 'MyLambdaFunction', {
    handler: '...',
    role: '...',
    code: '...',
    runtime: '...',
    environment: {
        SVECTORDB_API_KEY: apiKey.ref
    }
});

// Create or update an item
client.setItem({
    databaseId,
    key: 'abc',
    value: Buffer.from('Hello world!'),
    vector: [0.1, 0.1, 0.1, 0.1],
    metadata: {
      'title': {string: 'Backend Developer'},
      'tags': {stringArray: ['backend', 'javascript']},
      'salary': {number: 25000}
    }
});

// Query based on a vector
client.query({
    databaseId,
    query: {
        vector: [0.5, 0.5, 0.5, 0.5]
    },
    filter: 'salary:>12000'
});

// Query based on key (nearest to existing vector)
client.query({
    databaseId,
    query: {
        key: 'abc'
    },
    filter: 'tags:javascript'
});