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ChatPDF

ChatPDF Backend API - extract information and chat with PDFs.

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PostgreSQL

Integrate the ChatPDF API with the PostgreSQL API

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

Popular Ways to Connect ChatPDF with PostgreSQL

Add PDF Via URL with ChatPDF API on New Column from PostgreSQL API
PostgreSQL + ChatPDF
 
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Add PDF Via URL with ChatPDF API on New or Updated Row from PostgreSQL API
PostgreSQL + ChatPDF
 
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Add PDF Via URL with ChatPDF API on New Row Custom Query from PostgreSQL API
PostgreSQL + ChatPDF
 
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Add PDF Via URL with ChatPDF API on New Row from PostgreSQL API
PostgreSQL + ChatPDF
 
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Add PDF Via URL with ChatPDF API on New Table from PostgreSQL API
PostgreSQL + ChatPDF
 
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Popular ChatPDF 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 ChatPDF and PostgreSQL Actions

Add PDF Via URL with the ChatPDF API

Adds a PDF from a publicly accessible URL to ChatPDF, returning a source ID for interactions. 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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Chat With PDF with the ChatPDF API

Sends messages to interact with a specific PDF using its source ID. Can handle single or multiple messages for complex queries. 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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Delete PDF with the ChatPDF API

Deletes one or more PDFs from ChatPDF using their source IDs. See the documentation

 
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Overview of ChatPDF

The ChatPDF API enables you to convert chat histories from various messaging platforms into PDFs. This utility can be a game-changer for archiving conversations, legal documentation, or creating backups of critical chats. With Pipedream, you can automate the conversion process and integrate it with countless apps to streamline chat management tasks. Think of pulling chat data from messaging apps, converting them to PDF, and then saving or sharing them—all set up to run on autopilot.

Connect ChatPDF

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatpdf: {
      type: "app",
      app: "chatpdf",
    }
  },
  async run({steps, $}) {
    const data = {
      "url": `https://www.learningcontainer.com/wp-content/uploads/2019/09/sample-pdf-file.pdf`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.chatpdf.com/v1/sources/add-url`,
      headers: {
        "x-api-key": `${this.chatpdf.$auth.api_key}`,
      },
      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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