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with Snyk and Pinecone?
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Popular Snyk 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 Snyk#
The Snyk API provides programmatic access to Snyk's vulnerability detection capabilities, enabling you to automate security analysis and monitor for security issues in your codebases, open-source dependencies, container images, and more. On Pipedream, you can harness this API to create automated, serverless workflows that integrate Snyk's security insights with your development and operations processes. With Pipedream's ability to connect to hundreds of apps, you can seamlessly integrate Snyk's data with other services like Slack for notifications, JIRA for issue tracking, or GitHub for code management.
Connect Snyk#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
snyk: {
type: "app",
app: "snyk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.snyk.io/api/v1/user/me`,
headers: {
"Content-Type": `application/json; charset=utf-8`,
"Authorization": `token ${this.snyk.$auth.auth_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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