LLMWhisperer is a technology that presents data from complex documents to LLMs in a way that they can best understand.
Convert your PDF/scanned documents to text format which can be used by LLMs. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Get the status of the whisper process. This can be used to check the status of the conversion process when the conversion is done in async mode. See the documentation
Generate highlight locations for a search term in the document. See the documentation
Retrieve the extracted text executed through the whisper API. This can be used to retrieve the text of the conversion process when the conversion is done in async mode. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
llmwhisperer: {
type: "app",
app: "llmwhisperer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://llmwhisperer-api.unstract.com/v1/get-usage-info`,
headers: {
"unstract-key": `${this.llmwhisperer.$auth.api_key}`,
},
})
},
})
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
},
})