with OpenRouter and Pinecone?
Returns a list of models available through the API. See the documentation
Deletes one or more vectors by ID, from a single namespace. See the documentation
Send a chat completion request to a selected model. See the documentation
Looks up and returns vectors by ID, from a single namespace.. See the documentation
Send a completion request to a selected model (text-only format) See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
openrouter: {
type: "app",
app: "openrouter",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://openrouter.ai/api/v1/parameters/openai/o1`,
headers: {
Authorization: `Bearer ${this.openrouter.$auth.api_key}`,
},
params: {
provider: `OpenAI`,
},
})
},
})
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}`,
},
})
},
})