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Google PaLM

Build generative AI applications with Google's PaLM 2 model.

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PostgreSQL

Integrate the Google PaLM API with the PostgreSQL API

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

Popular Ways to Connect Google PaLM with PostgreSQL

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

Chat with the Google PaLM API

Chat using Google PaLM. See the docs here

 
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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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Generate Embeddings with the Google PaLM API

Generate embeddings using Google PaLM. See the docs here

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Generate Text with the Google PaLM API

Generate text using Google PaLM. See the docs here

 
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Overview of Google PaLM

The Google PaLM API is a cutting-edge language model that allows developers to integrate advanced natural language understanding into their applications. On Pipedream, you can harness this power to create serverless workflows that react to various triggers and perform actions based on the insights and outputs from PaLM. Whether it's generating content, summarizing text, or understanding user intent, PaLM's capabilities can be integrated into Pipedream workflows to automate complex tasks involving language.

Connect Google PaLM

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import { v1beta2 } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";

export default defineComponent({
  props: {
    google_palm_api: {
      type: "app",
      app: "google_palm_api",
    }
  },
  async run({ steps, $ }) {
    const client = new v1beta2.TextServiceClient({
      authClient: new GoogleAuth().fromAPIKey(this.google_palm_api.$auth.palm_api_key),
    });

    const text = "Repeat after me: one, two,";
    const model = "models/text-bison-001";

    return await client
      .generateText({
        model,
        prompt: {
          text,
        },
      })
  },
})

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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