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[Demo] Leverage Vectorizer in QueryCommand #620

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merged 1 commit into from
Sep 17, 2025
Merged

[Demo] Leverage Vectorizer in QueryCommand #620

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15 changes: 8 additions & 7 deletions demo/src/Blog/Command/QueryCommand.php
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Original file line number Diff line number Diff line change
Expand Up @@ -12,18 +12,19 @@
namespace App\Blog\Command;

use Codewithkyrian\ChromaDB\Client;
use Symfony\AI\Platform\Bridge\OpenAi\Embeddings;
use Symfony\AI\Platform\PlatformInterface;
use Symfony\AI\Store\Document\VectorizerInterface;
use Symfony\Component\Console\Attribute\AsCommand;
use Symfony\Component\Console\Command\Command;
use Symfony\Component\Console\Style\SymfonyStyle;
use Symfony\Component\DependencyInjection\Attribute\Autowire;

#[AsCommand('app:blog:query', description: 'Test command for querying the blog collection in Chroma DB.')]
final class QueryCommand
final readonly class QueryCommand
{
public function __construct(
private readonly Client $chromaClient,
private readonly PlatformInterface $platform,
private Client $chromaClient,
#[Autowire(service: 'ai.vectorizer.openai')]
private VectorizerInterface $vectorizer,
) {
}

Expand All @@ -44,9 +45,9 @@ public function __invoke(SymfonyStyle $io): int
$io->comment(\sprintf('Converting "%s" to vector & searching in Chroma DB ...', $search));
$io->comment('Results are limited to 4 most similar documents.');

$platformResponse = $this->platform->invoke(new Embeddings(Embeddings::TEXT_3_SMALL), $search);
$vector = $this->vectorizer->vectorize($search);
$queryResponse = $collection->query(
queryEmbeddings: [$platformResponse->asVectors()[0]->getData()],
queryEmbeddings: [$vector->getData()],
nResults: 4,
);

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