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Integrate the Perplexity API with the PostgreSQL API

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

Popular Ways to Connect Perplexity with PostgreSQL

Chat Completions with Perplexity API on New Column from PostgreSQL API
PostgreSQL + Perplexity
 
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Chat Completions with Perplexity API on New or Updated Row from PostgreSQL API
PostgreSQL + Perplexity
 
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Chat Completions with Perplexity API on New Row Custom Query from PostgreSQL API
PostgreSQL + Perplexity
 
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Chat Completions with Perplexity API on New Row from PostgreSQL API
PostgreSQL + Perplexity
 
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Chat Completions with Perplexity API on New Table from PostgreSQL API
PostgreSQL + Perplexity
 
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Popular Perplexity 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 Perplexity and PostgreSQL Actions

Chat Completions with the Perplexity API

Generates a model's response for the given chat conversation. 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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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Find Row With Custom Query with the PostgreSQL API

Finds a row in a table via a custom query. See the documentation

 
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Overview of Perplexity

The Perplexity API offers advanced natural language processing capabilities, enabling users to generate answers, summaries, and insights from texts. Leveraging this API on Pipedream allows for the automation of content analysis, intelligent alert systems, and dynamic data enrichment, integrating seamlessly with various data sources and services for real-time processing.

Connect Perplexity

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    perplexity: {
      type: "app",
      app: "perplexity",
    }
  },
  async run({steps, $}) {
    const data = {
      "model": "mistral-7b-instruct",
      "messages": [
        {
          "role": "system",
          "content": "Be precise and concise."
        },
        {
          "role": "user",
          "content": "Can you tell me about the integration platform called Pipedream?"
        }
      ]
    }
    return await axios($, {
      method: "post",
      url: `https://api.perplexity.ai/chat/completions`,
      headers: {
        Authorization: `Bearer ${this.perplexity.$auth.api_key}`,
        "accept": `application/json`,
      },
      data,
    })
  },
})

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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