Lines Matching defs:embedding

55             json_decode((string) $record['embedding'], true, 512, JSON_THROW_ON_ERROR),
92                 'embedding' => json_encode($chunk->getEmbedding(), JSON_THROW_ON_ERROR),
130                 json_decode((string) $record['embedding'], true, 512, JSON_THROW_ON_ERROR),
148             'SELECT *, COSIM(?, embedding) AS similarity
163                 json_decode((string) $record['embedding'], true, 512, JSON_THROW_ON_ERROR),
197      * @param string $embedding JSON encoded vector array
200     public function sqliteCosineSimilarityCallback($query, $embedding)
204             json_decode($embedding, true, 512, JSON_THROW_ON_ERROR)
214      * @param float[] $embedding The normalized vector of the chunk
217     protected function cosineSimilarity($queryVector, $embedding)
221             $dotProduct += $value * $embedding[$key];
268             $query = "SELECT id, embedding FROM embeddings $where ORDER BY RANDOM() LIMIT ?";
271             $dimensions = count(json_decode((string) $result[0]['embedding'], true, 512, JSON_THROW_ON_ERROR));
288                 $space->addPoint(json_decode((string) $record['embedding'], true, 512, JSON_THROW_ON_ERROR));
325         $query = 'SELECT id, embedding, lang FROM embeddings WHERE cluster IS NULL';
329             $vector = json_decode((string) $record['embedding'], true, 512, JSON_THROW_ON_ERROR);
392             $vector = json_decode((string) $row['embedding'], true, 512, JSON_THROW_ON_ERROR);