Integrate the Relevance AI API with the Snowflake API

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

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Popular Ways to Connect Relevance AI with Snowflake#

Run Tool with Relevance AI API on New Row from Snowflake API

Snowflake + Relevance AI

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Send Message to Agent with Relevance AI API on New Row from Snowflake API

Snowflake + Relevance AI

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Run Tool with Relevance AI API on New Query Results from Snowflake API

Snowflake + Relevance AI

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Send Message to Agent with Relevance AI API on New Query Results from Snowflake API

Snowflake + Relevance AI

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Run Tool with Relevance AI API on Failed Task in Schema from Snowflake API

Snowflake + Relevance AI

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Popular Relevance 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 Relevance AI and Snowflake Actions#

Run Tool with the Relevance AI API

Executes a specific tool within Relevance AI and waits for a response for up to 60 seconds. See the documentation

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Send Message to Agent with the Relevance AI API

Sends a message directly to an agent in Relevance AI. This action doesn't wait for an agent response.

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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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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Relevance AI#

Relevance AI is a powerful tool for handling complex data operations like clustering, vector search, and data visualization. On Pipedream, you can use the Relevance AI API to automate data enrichment, analysis, and integration tasks. This integration opens up possibilities for dynamic data workflows, enabling real-time data processing and insights generation across various platforms.

Connect Relevance AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    relevance_ai: {
      type: "app",
      app: "relevance_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api-${this.relevance_ai.$auth.region}.stack.tryrelevance.com/latest/agents/list `,
      headers: {
        "Authorization": `${this.relevance_ai.$auth.project}:${this.relevance_ai.$auth.api_key}`,
      },
    })
  },
})

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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