What do you want to automate
with change.photos and Pinecone?
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Popular change.photos and Pinecone Actions#
Transforms an image with various effects and optimizations. See the documentation
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
Connect change.photos#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
change_photos: {
type: "app",
app: "change_photos",
}
},
async run({steps, $}) {
const data = {
"url": `https://pipedream.com/s.v0/app_13GhYE/logo/orig`,
"grayscale": true,
}
return await axios($, {
method: "post",
url: `https://www.change.photos/api/change`,
headers: {
Authorization: `Bearer ${this.change_photos.$auth.api_key}`,
"content-type": `application/json`,
"accept": `application/json`,
},
data,
})
},
})
Overview of Pinecone#
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.
Connect Pinecone#
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}`,
},
})
},
})
Trusted by 1,000,000+ developers from startups to Fortune 500 companies