normalized_message ?: $ticket->message; $language = (string) ($ticket->redaction_report['language'] ?? 'nl'); $embeddingContext = $this->embeddingService->context(); $ticketEmbeddingIsCurrent = $ticket->embedding !== null && $ticket->embedding_provider_instance_id === $embeddingContext['provider_instance_id'] && $ticket->embedding_model === $embeddingContext['embedding_model']; $embedding = $ticketEmbeddingIsCurrent ? $ticket->embedding : $this->embeddingService->embed($queryText); if (! $ticketEmbeddingIsCurrent) { $ticket->embedding = $embedding; $ticket->embedding_provider_instance_id = $embeddingContext['provider_instance_id']; $ticket->embedding_model = $embeddingContext['embedding_model']; $ticket->embedded_at = now(); $ticket->save(); } $rawCandidates = $this->articleRepository->findSimilarByEmbedding($embedding, 12, $embeddingContext); $candidates = $this->prepareCandidates($queryText, $rawCandidates, 5); $classification = $this->classifierService->rank($queryText, $candidates, $language); $bestArticle = $classification->articleId ? Article::find($classification->articleId) : null; AIDecision::query()->create([ 'ticket_id' => $ticket->id, 'article_id' => $bestArticle?->id, 'confidence' => $classification->confidence, 'explanation' => $classification->explanation, 'raw_response' => $classification->rawResponse, ]); return [ 'best_article' => $bestArticle, 'confidence' => $classification->confidence, 'explanation' => $classification->explanation, 'top_3_candidates' => collect($candidates)->take(3)->map(fn ($c) => $c->toArray())->values()->all(), 'top_5_candidates' => collect($candidates)->map(fn ($c) => $c->toArray())->values()->all(), 'retrieval_meta' => [ 'raw_candidates_count' => count($rawCandidates), 'deduped_candidates_count' => count($candidates), ], 'requested_tool_call' => $classification->toolCall, 'classifier_raw_response' => $classification->rawResponse, ]; } private function prepareCandidates(string $queryText, array $candidates, int $limit): array { $seen = []; $unique = []; foreach ($candidates as $candidate) { $dedupeKey = $candidate->sourceArticleId ? 'source_id:'.$candidate->sourceArticleId : ($candidate->sourceUrl ? 'source_url:'.$candidate->sourceUrl : 'article:'.$candidate->articleId); if (isset($seen[$dedupeKey])) { continue; } $seen[$dedupeKey] = true; $unique[] = $candidate; } $query = mb_strtolower($queryText); $isHowTo = str_contains($query, 'hoe') || str_contains($query, 'instel') || str_contains($query, 'stap'); usort($unique, function ($a, $b) use ($isHowTo) { $scoreA = $this->candidateScore($a->title.' '.$a->content, $a->distance, $isHowTo); $scoreB = $this->candidateScore($b->title.' '.$b->content, $b->distance, $isHowTo); return $scoreB <=> $scoreA; }); return array_values(array_slice($unique, 0, $limit)); } private function candidateScore(string $text, float $distance, bool $isHowTo): float { $score = 1.0 - $distance; $haystack = mb_strtolower($text); if ($isHowTo) { $proceduralKeywords = ['hoe', 'stap', 'instellen', 'aanmaken', 'wijzigen', 'klik', 'menu', 'beheren', 'dns']; foreach ($proceduralKeywords as $keyword) { if (str_contains($haystack, $keyword)) { $score += 0.03; } } } return $score; } }