---
title: 'Pinecone'
description: 'Vector database API for similarity search. Manage indexes, upsert vectors, and query embeddings.'
---

# Pinecone

Vector database API for similarity search. Manage indexes, upsert vectors, and query embeddings.

| Detail | Value |
|---|---|
| Category | AI |
| Base URL | `https://api.pinecone.io` |
| Authentication | API Key |
| Endpoints | 4 |
| Connector key | `pinecone` |

## Using Pinecone in a workflow

1. Go to **Connections** and click **New Connection**.
2. Pick **Pinecone** from the marketplace.
3. Enter your credentials (see Authentication above for what's expected).
4. In a workflow, drop an **API Call** node and select this connection.
5. Pick the operation you need from the Operation dropdown — see the table below.

## Available Endpoints

| Endpoint | Summary |
|---|---|
| [GET /databases](./get_databases_ai_listindexes) | List all indexes |
| [POST /databases](./post_databases_ai_createindex) | Create an index |
| [GET /databases/{indexName}](./get_databases_indexname_ai_describeindex) | Describe an index |
| [DELETE /databases/{indexName}](./delete_databases_indexname_ai_deleteindex) | Delete an index |

> Each endpoint has its own page with parameter details, an example
> `API Call` node configuration, and the response shape.