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with Stormboard and Pinecone?
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Popular Stormboard and Pinecone Actions#
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
Overview of Stormboard#
Stormboard is a digital workspace designed for interactive planning and collaboration. Leveraging its API on Pipedream, you can automate workflows to streamline idea management and decision-making processes. Create, update, and manage ideas captured in Stormboard in real-time, and sync them with other business tools for enhanced productivity.
Connect Stormboard#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
stormboard: {
type: "app",
app: "stormboard",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.stormboard.com/users/test`,
headers: {
"X-API-Key": `${this.stormboard.$auth.api_key}`,
},
})
},
})
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}`,
},
})
},
})
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