Semantic Search
3 videos across 3 channels
Semantic search blends embeddings and natural language understanding to retrieve results based on meaning rather than exact keyword matches. The videos show practical paths for implementing it in Laravel ecosystems—from using PGVector and vector-based queries to TypeSense-driven faceted search, and from AI-native workflows to new PHP attributes and upgradable architectures. Together, they illustrate how semantic search reduces activation energy for users, enables richer filtering and contextually relevant results, and fits into evolving front- and back-end toolchains like OG Kit, JSON API resources, and intelligent agents.
PGVector, Optimistic UX & OG Kit with Peter Suhm
Peter Sum (Tailwind Labs) summarizes his talk about unblocking users with AI in Laravel apps, emphasizing how AI can red
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
Supercharged Search With Laravel and Typesense - 4 Hour Course
The video walkthrough introduces Semantics of Typesense, focusing on installing and running a local Typesense server, co