Asynchronous Embedding Ingestion: Scaling pgvector in Laravel 13 with Queue Batches
An infrastructure guide focused on building a high-throughput, decoupled data ingestion pipeline using Laravel 13. We show how to safely handle high-volume text chunking, eliminate application process bottlenecks via asynchronous Bus Batches, and perform optimized updates directly within PostgreSQL
Building AI-Native Apps: Vector Search in Laravel 13 & PostgreSQL
This guide explores how Laravel 13 has revolutionized search by introducing native vector similarity methods. We cover everything from the basic whereVectorSimilarTo syntax to the advanced orchestration of embeddings using the new Laravel AI SDK, providing a clear path for architects to build intelligent, semantic search engines.
Beyond the Single Prompt: Orchestrating Multi-Step AI Workflows in Laravel 13
One AI agent is a chatbot; three AI agents are a department. In this tutorial, we move beyond basic API calls to build a sophisticated "Orchestrator-Worker" system. See how to use the Laravel 13 AI SDK to chain agents, handle structured output, and build reasoning engines that actually solve complex business problems.
Native Vector Search in Eloquent: Semantic Discovery the Easy Way
Why manage a massive external search cluster when your favorite framework can handle it natively? In 2026, Laravel and pgvector have finally merged to give us "Semantic Search" without the infrastructure headache. See how I’m using native Eloquent methods to replace legacy keyword matching with AI-driven intent—perfect for local marketplaces and dealer directories.