> ## Documentation Index
> Fetch the complete documentation index at: https://llm-tools.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Pinecone

To get started, create an account with [Pinecone](https://www.pinecone.io/) if you don't have one already. There is a free tier.
Once you have an account, get an API key from the **API Keys** section on the Pinecone dashboard.

Add the API Key to your environment variables.

```bash theme={null}
PINECONE_API_KEY=<your api key>
```

## Install Pinecone addon

```bash theme={null}
npm install @llm-tools/embedjs-pinecone
```

## Usage

<CodeGroup>
  ```ts Example theme={null}
  import { RAGApplicationBuilder } from '@llm-tools/embedjs';
  import { OpenAiEmbeddings } from '@llm-tools/embedjs-openai';
  import { PineconeDb } from '@llm-tools/embedjs-pinecone';
  import { WebLoader } from '@llm-tools/embedjs-loader-web';

  // set OPENAI_API_KEY in your env
  process.env.OPENAI_API_KEY = "sk-xxx";

  const app = await new RAGApplicationBuilder()
  .setEmbeddingModel(new OpenAiEmbeddings())
  .setModel(SIMPLE_MODELS.OPENAI_GPT4_O)
  .setVectorDatabase(new PineconeDb({
      projectName: '<name>',
      namespace: '<name>',
      indexSpec: {
          pod: {
              podType: 'p1.x1',
              environment: 'us-east1-gcp',
          },
      },
  }))
  .build();


  //add data source and start query it
  await app.addLoader(new WebLoader({ urlOrContent: 'https://www.forbes.com/profile/elon-musk' }));
  await app.query('Tell me about Elon Musk');
  ```
</CodeGroup>

<Snippet file="missing-vector-db-tip.mdx" />