Cohere

Making NLP part of every developer's toolkit. Harness the power of language understanding. Join the developers and businesses who are using Cohere to generate, categorize and organize text at a scale that was previously unimaginable.

Integrate the Cohere API with the Snowflake API

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

Choose Best Completion with Cohere API on New Row from Snowflake API
Snowflake + Cohere
 
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Classify Text with Cohere API on New Row from Snowflake API
Snowflake + Cohere
 
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Generate Text with Cohere API on New Row from Snowflake API
Snowflake + Cohere
 
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Summarize Text with Cohere API on New Row from Snowflake API
Snowflake + Cohere
 
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Choose Best Completion with Cohere API on New Query Results from Snowflake API
Snowflake + Cohere
 
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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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Choose Best Completion with the Cohere API

This action chooses the best completion conditioned on a given examples. See the docs here

 
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Classify Text with the Cohere API

This action makes a prediction about which label fits the specified text inputs best. See the docs here

 
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Generate Text with the Cohere API

This action generates realistic text conditioned on a given input. See the docs here

 
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Summarize Text with the Cohere API

This action generates a summary in English for the given text. See the docs here

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Overview of Cohere

The Cohere API enables the development of apps with advanced natural language understanding capabilities. Utilizing machine learning, it can help with tasks like text generation, summarization, sentiment analysis, and more. On Pipedream, you can seamlessly integrate Cohere's features into serverless workflows, triggering actions based on text input, processing large volumes of data, or even enhancing chatbots with more human-like responses.

Connect Cohere

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cohere_platform: {
      type: "app",
      app: "cohere_platform",
    }
  },
  async run({steps, $}) {
    const data = {
      "text": `Tokenize this!`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.cohere.ai/small/tokenize`,
      headers: {
        Authorization: `Bearer ${this.cohere_platform.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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

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import { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})