Build Ai-Powered Laravel Apps With Rag, Openai & Qdrant
Год выпуска: 03/2026
Производитель: Udemy
Сайт производителя:
https://www.udemy.com/course/build-ai-powered-laravel-apps-with-rag-openai-qdrant/
Автор: Rajat varshney
Продолжительность: ~1h30m
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Описание: Are you ready to build a smart AI-powered search system in Laravel using modern tools like RAG, OpenAI, and vector databases?
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.
You’ll also implement a RAG (Retrieval-Augmented Generation) pipeline to enhance search results with AI-generated responses.
This course is designed to be practical and beginner-friendly for developers, even if you have no prior experience with AI or machine learning.
By completing this course, you’ll gain the confidence to build and extend smart search systems for blogs, documentation platforms, knowledge bases, and more.
Содержание
Course Introduction: What You’ll Build with AI, Laravel & RAG
3:12
Setting Up PHP, Composer & Workbench (Step-by-Step)
4:12
Install & Configure Qdrant for Semantic Search
3:11
OpenAI API Setup: Generate API Key & Configure Your IDE
3:55
Installing Laravel and Running Your First Application
4:02
Database Setup and Connecting Laravel to the Database
3:18
Understanding MVC Architecture in Laravel (Model, View, Controller)
4:04
AI Application Architecture: System Design & Mind Map Overview
4:32
Understanding Vector Databases for AI (Embeddings & Semantic Search)
4:45
Creating Users & Blog Tables (Migrations & Eloquent Models)
4:22
Building Login System & Dashboard in Laravel
5:28
Blog Management System: Create, Edit & List Posts (MySQL)
6:59
Integrating Qdrant in Laravel (Service Layer Setup)
4:38
Storing Blog Content in Qdrant for Semantic Search
9:26
Creating Blog Listing & Detail Pages (Frontend Layout Setup)
6:34
Implementing Traditional Keyword Search in Laravel
3:46
Building Semantic Search Using Qdrant (Vector Search in Action)
8:18
Implementing Full RAG Pipeline with OpenAI (AI-Powered Search)
5:19
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1920x1080, 16:9, 30fps, ~1600kbps
Аудио: AAC, 44.1kHz, 128kbps, stereo
