Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
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
Retrieves the record identified by the specified sys_id from the specified table.
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
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 ServiceNow API lets developers access and manipulate records, manage workflows, and integrate with other services on its IT service management platform. These capabilities support automating tasks, syncing data across platforms, and boosting operational efficiencies.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
servicenow: {
type: "app",
app: "servicenow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.servicenow.$auth.instance_name}.service-now.com/api/now/table/incident`,
headers: {
Authorization: `Bearer ${this.servicenow.$auth.oauth_access_token}`,
},
})
},
})