A step-by-step guide to building a document search agent using the Laravel AI SDK. Covers uploading files and generating vector embeddings asynchronously via queue workers, storing embeddings in a pgvector-enabled PostgreSQL database, performing semantic similarity search at query time, and streaming responses to the browser via server-sent events or WebSockets with Laravel Reverb. Also covers deploying to Laravel Cloud with dedicated worker clusters, encrypted environment variables, and automatic worker restarts.
Table of contents
# What the Laravel AI SDK Gives You# Setting Up the Document Model# Building the Document Search Agent# Streaming Responses to the Browser# Running Queue Workers on Laravel Cloud# Ship It TodaySort: