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Udemy - Build Aipowered Laravel Apps With Rag Openai Qdrant

File Name
Size
1 - Course Introduction/1 - Course Introduction What Youll Build With Ai Laravel Rag.mp4
118 MB
2 - Environment Setup/2 - Setting Up Php Composer Workbench Stepbystep.mp4
70 MB
2 - Environment Setup/3 - Install Configure Qdrant For Semantic Search.mp4
44 MB
2 - Environment Setup/4 - Openai Api Setup Generate Api Key Configure Your Ide.mp4
42 MB
3 - Initiating With First Steps/5 - Installing Laravel And Running Your First Application.mp4
36 MB
3 - Initiating With First Steps/6 - Database Setup And Connecting Laravel To The Database.mp4
48 MB
4 - Understanding Application Architecture/7 - Understanding Mvc Architecture In Laravel Model View Controller.mp4
21 MB
4 - Understanding Application Architecture/8 - Ai Application Architecture System Design Mind Map Overview.mp4
30 MB
4 - Understanding Application Architecture/9 - Understanding Vector Databases For Ai Embeddings Semantic Search.mp4
46 MB
5 - Building The Backend Laravel Ai Integration/10 - Creating Users Blog Tables Migrations Eloquent Models.mp4
59 MB
5 - Building The Backend Laravel Ai Integration/11 - Building Login System Dashboard In Laravel.mp4
56 MB
5 - Building The Backend Laravel Ai Integration/12 - Blog Management System Create Edit List Posts Mysql.mp4
87 MB
5 - Building The Backend Laravel Ai Integration/13 - Integrating Qdrant In Laravel Service Layer Setup.mp4
61 MB
5 - Building The Backend Laravel Ai Integration/14 - Storing Blog Content In Qdrant For Semantic Search.mp4
141 MB
6 - Building The Frontend Ui Search Experience/15 - Creating Blog Listing Detail Pages Frontend Layout Setup.mp4
98 MB
6 - Building The Frontend Ui Search Experience/16 - Implementing Traditional Keyword Search In Laravel.mp4
45 MB
7 - Ai Search System Semantic Rag Implementation/17 - Building Semantic Search Using Qdrant Vector Search In Action.mp4
104 MB
7 - Ai Search System Semantic Rag Implementation/18 - Implementing Full Rag Pipeline With Openai Aipowered Search.mp4
68 MB