Pinecone
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.
Integrate the Pinecone API with the HTTP / Webhook API
Setup the Pinecone API trigger to run a workflow which integrates with the HTTP / Webhook API. Pipedream's integration platform allows you to integrate Pinecone and HTTP / Webhook remarkably fast. Free for developers.
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Popular Pinecone and HTTP / Webhook Triggers#
Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.
Get a URL and emit the HTTP body as an event on every request
Emit new event when the content of the URL changes.
Popular Pinecone and HTTP / Webhook 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.
Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.
Updates vector in a namespace. If a value is included, it will overwrite the previous value. See the documentation.
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}`,
},
})
},
})
Overview of HTTP / Webhook#
Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.
Point and click HTTP requests
Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.
Focus on integrating, not authenticating
This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.
Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.
Compatible with no code actions or Node.js and Python
The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.
Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.
Connect HTTP / Webhook#
// To use any npm package on Pipedream, just import it
import axios from "axios"
export default defineComponent({
async run({ steps, $ }) {
const { data } = await axios({
method: "GET",
url: "https://pokeapi.co/api/v2/pokemon/charizard",
})
return data.species
},
})
Community Posts#
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