Integrate the Eden AI API with the Snowflake API

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

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Popular Ways to Connect Eden AI with Snowflake#

Analyze Sentiment in Text with Eden AI API on New Row from Snowflake API

Snowflake + Eden AI

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Detect AI Content with Eden AI API on New Row from Snowflake API

Snowflake + Eden AI

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Generate Audio From Text with Eden AI API on New Row from Snowflake API

Snowflake + Eden AI

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Generate Image with Eden AI API on New Row from Snowflake API

Snowflake + Eden AI

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Translate Document with Eden AI API on New Row from Snowflake API

Snowflake + Eden AI

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Popular Eden AI and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Database from the Snowflake API

Emit new event when a database is created

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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

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Popular Eden AI and Snowflake Actions#

Analyze Sentiment in Text with the Eden AI API

Analyzes sentiment in the provided text. See the documentation

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Detect AI Content with the Eden AI API

Detects AI content in the provided text. See the documentation

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Generate Audio From Text with the Eden AI API

Generates an audio from the provided text. See the documentation

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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Generate Image with the Eden AI API

Generates an image from the provided description. See the documentation

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Overview of Eden AI#

Eden AI provides a simple API for integrating a variety of AI services from different providers. On Pipedream, you can leverage Eden AI to automate tasks that involve natural language processing, computer vision, and other AI capabilities. By connecting Eden AI with other apps, you can create powerful workflows for data enrichment, content moderation, or sentiment analysis without extensive AI expertise.

Connect Eden AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    eden_ai: {
      type: "app",
      app: "eden_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.edenai.run/v2/ocr/custom_document_parsing_async`,
      headers: {
        Authorization: `Bearer ${this.eden_ai.$auth.api_key}`,
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
    })
  },
})

Overview of Snowflake#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake#

import snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

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