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Nyckel

Nyckel makes image and text classification easy for everyone. In just a few minutes, you can build an AI model to categorize images and text using any labels you want. No machine learning experience needed.

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PostgreSQL

Integrate the Nyckel API with the PostgreSQL API

Setup the Nyckel API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate Nyckel and PostgreSQL remarkably fast. Free for developers.

Popular Ways to Connect Nyckel with PostgreSQL

Classify Image with Nyckel API on New Column from PostgreSQL API
PostgreSQL + Nyckel
 
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Classify Image with Nyckel API on New or Updated Row from PostgreSQL API
PostgreSQL + Nyckel
 
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Classify Image with Nyckel API on New Row Custom Query from PostgreSQL API
PostgreSQL + Nyckel
 
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Classify Image with Nyckel API on New Row from PostgreSQL API
PostgreSQL + Nyckel
 
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Classify Image with Nyckel API on New Table from PostgreSQL API
PostgreSQL + Nyckel
 
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Popular Nyckel and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
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Popular Nyckel and PostgreSQL Actions

Classify Image with the Nyckel API

Classifies image data based on pre-trained classifiers in Nyckel. See the documentation

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Classify Text with the Nyckel API

Classifies text data based on pre-trained classifiers in Nyckel. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Extract Text from Image with the Nyckel API

Extracts text from an image URL. See the documentation

 
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Overview of Nyckel

The Nyckel API offers machine learning capabilities, enabling you to add custom image and text classification to your applications without needing a data science background. With Nyckel, you can train models, make predictions, and refine your model iteratively as new data comes in. On Pipedream, you can integrate Nyckel to automate various tasks such as processing images uploaded to cloud storage, categorizing customer support tickets, or augmenting content moderation workflows. By harnessing the power of serverless on Pipedream, you can create efficient pipelines that respond in real-time to events, without managing infrastructure.

Connect Nyckel

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nyckel: {
      type: "app",
      app: "nyckel",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.nyckel.com/v1/functions`,
      headers: {
        Authorization: `Bearer ${this.nyckel.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
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