with Pinecone and Azure Speech Service?
Deletes one or more vectors by ID, from a single namespace. See the documentation
Looks up and returns vectors by ID, from a single namespace.. See the documentation
Searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores. See the documentation
Updates vector in a namespace. If a value is included, it will overwrite the previous value. See the documentation
Writes vectors into a namespace. If a new value is upserted for an existing vector ID, it will overwrite the previous value. See the documentation
The Pinecone API enables you to work with vector databases, which are essential for building and scaling applications with AI features like recommendation systems, image recognition, and natural language processing. On Pipedream, you can create serverless workflows integrating Pinecone with other apps, automate data ingestion, query vector databases in response to events, and orchestrate complex data processing pipelines that leverage Pinecone's similarity search.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinecone: {
type: "app",
app: "pinecone",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinecone.io/collections`,
headers: {
"Api-Key": `${this.pinecone.$auth.api_key}`,
},
})
},
})
The Azure Speech Service API offers a suite of speech-to-text, text-to-speech, and speech translation capabilities, allowing you to integrate advanced speech processing into your applications. With the API, you can transcribe audio into text, convert text into natural-sounding speech, and even translate spoken languages in real-time. Leveraging these features within Pipedream, you can automate workflows that respond to voice commands, generate audio content from textual data, or provide real-time translation services for global communication.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_speech_service: {
type: "app",
app: "azure_speech_service",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.azure_speech_service.$auth.endpoint}/speechtotext/v3.1/healthstatus`,
headers: {
"Ocp-Apim-Subscription-Key": `${this.azure_speech_service.$auth.api_key}`,
},
})
},
})