with Relevance AI and Azure Storage?
Emit new event when a blob is deleted from a specified container in Azure Storage. See the documentation
Emit new event when a new blob is created to a specified container in Azure Storage. See the documentation
Emit new event when a new container is created in the specified Azure Storage account. See the documentation
Executes a specific tool within Relevance AI and waits for a response for up to 60 seconds. See the documentation
Sends a message directly to an agent in Relevance AI. This action doesn't wait for an agent response.
Creates a new container under the specified account. If a container with the same name already exists, the operation fails. See the documentation
Deletes a specific blob from a container in Azure Storage. See the documentation
Uploads a new blob to a specified container in Azure Storage. See the documentation
Relevance AI is a powerful tool for handling complex data operations like clustering, vector search, and data visualization. On Pipedream, you can use the Relevance AI API to automate data enrichment, analysis, and integration tasks. This integration opens up possibilities for dynamic data workflows, enabling real-time data processing and insights generation across various platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
relevance_ai: {
type: "app",
app: "relevance_ai",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://api-${this.relevance_ai.$auth.region}.stack.tryrelevance.com/latest/agents/list`,
headers: {
"authorization": `${this.relevance_ai.$auth.project}:${this.relevance_ai.$auth.api_key}`,
},
})
},
})
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_storage: {
type: "app",
app: "azure_storage",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.azure_storage.$auth.oauth_access_token}`,
},
})
},
})