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Pinecone

Prefer guided AI setup?

Instead of following these steps manually, you can use the AI Credential Assistant — describe what you want to connect and the AI will walk you through the setup step by step, tailored to your account.

Overview​

Pinecone is a vector database for building AI applications. Connect your Pinecone account to store and query vector embeddings for semantic search, recommendations, and RAG applications.

Authentication Type​

API Key

Setup Instructions​

Step 1: Create a Pinecone Account​

  1. Sign up at Pinecone
  2. Create a new project or use an existing one

Step 2: Get Your API Key​

  1. Go to your Pinecone Console
  2. Select your project
  3. Go to API Keys
  4. Copy the API key

Step 3: Create an Index (if needed)​

  1. Go to Indexes in your project
  2. Click Create Index
  3. Configure dimensions based on your embedding model
  4. Select your preferred cloud and region

Configuration Fields​

  • API Key: Your Pinecone project API key

Common Use Cases​

  • Semantic search applications
  • Recommendation systems
  • Retrieval-Augmented Generation (RAG)
  • Similarity matching
  • Knowledge base indexing

API Documentation​

Pinecone Documentation

Next Steps​

Got your credential? Connect it to an agent

Use the AI Tool Creator to turn this credential into agent-callable tools. Describe what your agent should be able to do and the AI investigates the API, configures the endpoints, and gives you a reviewable toolkit before saving anything.