Pinecone

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Prerequisites

• Sign up for a Pinecone account at Pinecone.io.
• Get your Pinecone API key from the Pinecone dashboard.

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Setup

1. Add your Pinecone API key to the .env file.

PINECONE_API_KEY=your-pinecone-api-key

2. The boilerplate already includes the necessary configuration for Pinecone in src/lib/ai/pinecone.ts. This file initializes the Pinecone client.

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Usage

To use Pinecone in your application, you can create an API route that interacts with the Pinecone vector database. Here’s an example of how to set up a route that uses Pinecone for similarity search:

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Common Operations

Pinecone offers various features for vector database management. Here are a few examples:

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Upserting Vectors

const index = pc.Index(process.env.PINECONE_INDEX);

await index.upsert([
  {
    id: 'vec1',
    values: [0.1, 0.2, 0.3, 0.4, 0.5],
    metadata: { text: 'This is a sample vector' }
  },
  // Add more vectors as needed
]);

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Deleting Vectors

const index = pc.Index(process.env.PINECONE_INDEX);

await index.deleteOne('vec1');
// Or delete multiple vectors
// await index.deleteMany(['vec1', 'vec2', 'vec3']);

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Fetching Vectors

const index = pc.Index(process.env.PINECONE_INDEX);

const fetchResponse = await index.fetch(['vec1', 'vec2']);
console.log(fetchResponse.vectors);