PineconeVectorStore

📂 Usage of PineconeVectorStore

To streamline your setup, our PHP repository recognizes Pinecone API key and host stored in two default locations: getenv('PINECONE_API') or $_ENV['PINECONE_API'] / getenv('PINECONE_HOST') or $_ENV['PINECONE_HOST']. Simply add your Pinecone key to your ENV file, and no additional configuration is necessary. We also use $_ENV because frameworks like Symfony typically disable getenv by default.

You can add or change both with the PineconeConfig class, so ENV is not mandatory.

The advantage of using Pinecone is that it offers a serverless package where you only pay for what you use. You don't need your own AWS, Google Cloud or Azure for this. This model is highly cost-effective as it eliminates overcapacity and unnecessary expenses.

• Serverless Landingpage: https://www.pinecone.io/product/

• Serverless pricing: https://www.pinecone.io/pricing/

To start using Pinecone in your projects, you need to integrate the pinecone-php repository. Install this repository using Composer by executing the following command:

composer require probots-io/pinecone-php

Adding Vector addVector

// Vector Class
use EasyAI\Embeddings\Vector;
// Pinecone Vector Store
use EasyAI\VectorStores\Pinecone\PineconeVectorStore;

// OpenAI Embedding
use EasyAI\Embeddings\EmbeddingGenerator\OpenAI\OpenAI3LargeEmbeddingGenerator; // In this example I am using the OpenAI3LargeEmbeddingGenerator

// Text to embed
$text = "I need support for Shopware 6";

// Embedding
$embeddingGenerator = new OpenAI3LargeEmbeddingGenerator();
$embedding = $embeddingGenerator->embedText($text);

// Create new vector object
$vector = new Vector();
//$vector->id = "id_84723"; // Additional: If not set hash will be used for id
//$vector->namespace = "MyNamespace"; // Additional: If not set, pinecone Default namespace
$vector->content = $text; // Add text for meta info in pinecone
$vector->embedding = $embedding; // Add vector array to vector class

// Save vector in Pinecone
$vectorStore = new PineconeVectorStore();
$vectorStore->addVector($vector); // void

Deleting Vector deleteVector

// Pinecone Vector Store
use EasyAI\VectorStores\Pinecone\PineconeVectorStore;

// Delete Vector
$vector = new Vector();
$vector->id = "id_84723";
//$vector->namespace = "test"; // Additional: If not set default

$vectorStore = new PineconeVectorStore();
$vectorStore->deleteVector($vector);

Search Vector similaritySearch

// OpenAI Embedding
use EasyAI\Embeddings\EmbeddingGenerator\OpenAI\OpenAI3LargeEmbeddingGenerator;

// Pinecone Storage
use EasyAI\VectorStores\Pinecone\PineconeVectorStore;

$text = "E-Commerce Support";
$embeddingGenerator = new OpenAI3LargeEmbeddingGenerator();
$embedding = $embeddingGenerator->embedText($text);

// SimilaritySearch
$vectorStore = new PineconeVectorStore();
//$arguments["namespace"] = "MyNamespace"; // Additional: If you want to use a differnt namespace than the default
//$arguments["includeMetadata"] = false; // Additional: If want to remove the metas in you result
//$arguments["includeValues"] = true; // Additional: If you also want to get the vector
$response = $vectorStore->similaritySearch($embedding,10,$arguments);

/* The $response will look like this
[
  {
    "id": "faq_690_q",
    "score": 0.372145921,
    "values": []
  },
  {
    "id": "faq_677_q",
    "score": 0.356256276,
    "values": []
  },
  ...
]
*/