Google PaLM

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

Integrate the Google PaLM API with the Data Stores API

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

Chat with the Google PaLM API

Chat using Google PaLM. See the docs here

 
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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

 
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Generate Embeddings with the Google PaLM API

Generate embeddings using Google PaLM. See the docs here

 
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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

 
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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 Data Stores

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores

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export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})