Bad Request (400) Response: {"code":3,"message":"Vector dimension 0 does not match the dimension of the index 1536","details":[]}

[omitpavel]

$embedding =$this->getEmbedding($chunk);
if (count($embedding) == 1536) {
$embedding = array_map('floatval', $embedding);
$this->pinecone->data()->vectors()->upsert([
'namespace' => $fileName, // Use namespace to group by file
'vectors' => [
[
'id' => "{$fileName}chunk{$index}",
'values' => array_values($embedding),
'metadata' => [
'source' => $fileName,
'chunk_index' => $index,
'upload_date' => now()->toDateString(),
'text' => substr($chunk, 0, 50) . '...', // Chunk preview
],
],
],
]);
}

            return Bad Request (400) Response: {"code":3,"message":"Vector dimension 0 does not match the dimension of the index 1536","details":[]}
            
            
            
            my get getEmbedding is
            
            private function getEmbedding(string $text): array
{
    $response = OpenAI::embeddings()->create([
        'model' => 'text-embedding-ada-002',
        'input' => $text,
    ]);

    return $response['data'][0]['embedding'];
}