OpenAI embeddings

3 videos across 2 channels

OpenAI embeddings are the driving force behind semantic search and document understanding in modern Laravel AI workflows. The videos show practical uses—from chunking uploaded documents and generating embeddings to powering vector stores and search, with real-world patterns like a recipe agent and chatbot that answer questions from your data, all while weighing costs and exploring local vs. hosted vector backends.

What's New in Laravel 13: Vector Search, PHP Attributes, JSON:API Resources & More thumbnail

What's New in Laravel 13: Vector Search, PHP Attributes, JSON:API Resources & More

The video showcases Lava Level 13, focusing on AI native workflows, stronger defaults, vector and semantic search, JSON

00:23:29
Laravel AI Chatbot Trained on Your Data: Example Project thumbnail

Laravel AI Chatbot Trained on Your Data: Example Project

The video walks through building a simplified Laravel AI chatbot workflow that processes uploaded documents by convertin

00:19:21
Laravel AI SDK: Q&A with Internal Docs (Stores / File Search / Embeddings) thumbnail

Laravel AI SDK: Q&A with Internal Docs (Stores / File Search / Embeddings)

This video demonstrates how to use the Laravel AI SDK to build a chatbot that answers questions from an uploaded documen

00:08:21