In this course, you’ll learn how to integrate intelligent semantic search into a real-world Laravel application by building a complete, practical project from scratch.
This is not just theory — you will actually build a Smart AI Search system using:
- OpenAI APIs (for embeddings and intelligent responses)
- Qdrant (vector database for semantic search)
- Laravel (backend application)
By the end of this course, you’ll clearly understand how modern AI search systems work — including how platforms deliver context-aware, relevant search results instead of simple keyword matching. We will start from the basics and gradually move toward implementing a fully functional semantic search system. You’ll learn how to generate embeddings, store them in a vector database, and retrieve the most relevant results using similarity search.






