What do you want to automate
with ElmahIO and Pinecone?
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Popular ElmahIO 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
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
Overview of ElmahIO#
The elmah.io API allows developers to automate error logging and management in their applications. By using this API, you can create robust monitoring systems that capture, analyze, and notify you of any application errors in real-time. Integrating elmah.io with Pipedream opens up possibilities for streamlining incident responses, correlating errors with system metrics, and improving application stability through automated workflows. With Pipedream's serverless platform, you can connect elmah.io to numerous other services to enhance your error management processes.
Connect ElmahIO#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
elmah_io: {
type: "app",
app: "elmah_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.elmah.io/v3/logs`,
params: {
api_key: `${this.elmah_io.$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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