RAG: Retrieval-Augmented Generation as an engineering system

This section builds the engineering foundation for RAG: how text becomes numbers, how retrieval works, why embeddings and transformers matter, and how to think about RAG as a system you can build, measure, and improve.

• Minimal RAG in PHP
• Case 1. Internal corporate assistant for regulations and policies
• Кейс 2. Юридический QA: ответы с привязкой к источнику
• Кейс 3. Семантический поиск по базе тикетов поддержки
• Case 4. RAG for internal documentation with LLPhant
• Кейс 5. RAG с NeuronAI для аналитики событий и таймлайнов