Exa (Formerly Metaphor)

Search Rebuilt for AI. The Exa API retrieves the best content on the web using embeddings-based search.

Integrate the Exa (Formerly Metaphor) API with the Amazon SES API

Setup the Exa (Formerly Metaphor) API trigger to run a workflow which integrates with the Amazon SES API. Pipedream's integration platform allows you to integrate Exa (Formerly Metaphor) and Amazon SES remarkably fast. Free for developers.

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Find Similar Links with the Exa (Formerly Metaphor) API

Find similar links to the link provided. See the documentation](https://docs.metaphor.systems/reference/findsimilar)

 
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Create Email Template with the Amazon SES API

Create a HTML or a plain text email template. See the docs

 
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Get Contents of Documents with the Exa (Formerly Metaphor) API

Retrieve contents of documents based on a list of document IDs. See the documentation. It is used to instantly get content for documents, given the IDs of the documents. We currently support extracts - the first 1000 tokens (~750 words) of parsed HTML for a site. Note that each piece of content retrieved costs 1 request. Also note that instant is a little bit of a lie if you are using keyword search, in which case contents might take a few seconds to retrieve.

 
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Get Email Template with the Amazon SES API

Get an email template. See the docs

 
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Search with the Exa (Formerly Metaphor) API

Perform a search with a Metaphor prompt-engineered query and retrieve a list of relevant results. See the documentation

 
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Overview of Exa (Formerly Metaphor)

The Exa (Formerly Metaphor) API enables you to enrich your applications with machine learning-powered insights and data processing capabilities. With Exa, you can perform advanced data analysis, extract meaningful patterns, and automate decision-making processes within your projects. By integrating this API with Pipedream, you can create seamless workflows that leverage these intelligent features alongside other services to streamline your operations, enhance data intelligence, and drive innovation.

Connect Exa (Formerly Metaphor)

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    metaphor: {
      type: "app",
      app: "metaphor",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `test`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.metaphor.systems/search`,
      headers: {
        "accept": `application/json`,
        "Content-Type": `application/json`,
        "x-api-key": `${this.metaphor.$auth.api_key}`,
      },
      data,
    })
  },
})

Overview of Amazon SES

Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.

Connect Amazon SES

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module.exports = defineComponent({
  props: {
    amazon_ses: {
      type: "app",
      app: "amazon_ses",
    }
  },
  async run({steps, $}) {
    const AWS = require("aws-sdk")
    const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
    
    const ses = new AWS.SES({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    const sesParams = {
      Destination: {
        ToAddresses: ["<your email here>"],
      }, 
      Message: {
        Body: {
          Html: {
            Charset: "UTF-8", 
            Data: "<h1>This is a test</h1>",
          }, 
            Text: {
            Charset: "UTF-8", 
            Data: "This is a test",
          }
        }, 
        Subject: {
          Charset: "UTF-8", 
          Data: "Test email",
        }
      },
      Source: "<your from address here", 
    };
    
    this.resp = await ses.sendEmail(sesParams).promise()
  },
})

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