What do you want to automate
with Asana and Pinecone?
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Popular Ways to Connect Asana with Pinecone#
Popular Asana and Pinecone Triggers#
Popular Asana 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
Add a task to a specific, existing section. This will remove the task from other sections of the project. See the documentation
Updates vector in a namespace. If a value is included, it will overwrite the previous value. See the documentation
Overview of Asana#
The Asana API taps into the feature-rich project management platform, allowing you to automate tasks, sync data across apps, and enhance team collaboration. With the Asana API on Pipedream, you can create tasks, update project timelines, and trigger workflows from events within Asana—like new tasks or comments—streamlining your project management processes. Pipedream’s serverless platform empowers you to build complex workflows with minimal overhead, integrating Asana with numerous other services to maximize productivity and reduce manual workload.
Connect Asana#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
asana: {
type: "app",
app: "asana",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.asana.com/api/1.0/users/me`,
headers: {
Authorization: `Bearer ${this.asana.$auth.oauth_access_token}`,
},
})
},
})
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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