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.
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
This action makes a prediction about which label fits the specified text inputs best. See the documentation
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.
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,
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})