Hands-on: embeddings in PHP with transformers

In this section we move from theory to practice: we take embeddings and apply them to several typical product tasks. Each case is a small engineering pattern you can reuse in PHP projects.

• Getting text embedding
• Case 1. Semantic search over text documents (no DB)
• Case 2. Similar records search (deduplication / near-duplicates)
• Case 3. Semantic FAQ / knowledge base search
• Case 4. Intelligent navigation over events / timelines
• Case 5. Classification without training (zero-shot via similarity)
• Case 6. Semantic recommendations "similar articles"