Use this app to create a Discord source that emits messages from your guild to a Pipedream workflow.
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 Discord API interacts seamlessly with Pipedream, empowering you to craft customized automations and workflows for your Discord server. With this powerful integration, you can automate tasks like message posting, user management, and notifications, based on a myriad of triggers and actions from different apps. These automations can enhance the Discord experience for community moderators and members, by synchronizing with external tools, organizing community engagement, and streamlining notifications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
discord: {
type: "app",
app: "discord",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://discord.com/api/users/@me`,
headers: {
Authorization: `Bearer ${this.discord.$auth.oauth_access_token}`,
"accept": `application/json`,
},
})
},
})
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}`,
},
})
},
})