Laravel Tutorials - AI Based Search and Vector Databases in Laravel Project

Use the following link to get started with TigerData for free: https://tsdb.co/zura In this video, I will show you how to implement AI-based semantic search using TigerData’s Agentic Postgres. You’ll see real examples where keyword search completely fails—and how AI instantly understands natural language queries and returns perfect results. Then I walk through how to build this step-by-step using Laravel, embeddings, and hybrid BM25 + vector search. We will also use TigerData's Agentic MCP and communicate to our Database directly from Cursor.ai. Source Code https://github.com/thecodeholic/laravel-ai-search-products To get started with Laravel check my course "Laravel for Beginners": https://thecodeholic.com/p/laravel-11-for-beginners Timecodes -------------------------- 00:00 - Intro & Demo 01:49 - How AI Search Works 09:06 - Introduce Ai Based Postgres 10:15 - Overview of existing project 12:11 - Connect to AI Database 19:24 - Prepare Schema in AI Database 20:41 - Sync and Vectorize Product Data 24:15 - Implement AI Based Search 31:57 - Implement automatic vectorization 34:47 - Forking the Database 40:09 - Implement Hybrid Search 45:52 - AI Built into the Database 54:49 - Conclusion 🔔 Subscribe: https://bit.ly/2xTQOI0 🖱️Follow me on social media:🖱️ https://x.com/thecodeholic https://www.facebook.com/thecodeholic https://www.instagram.com/thecodeholic