Embeddings
6 videos across 3 channels
Embeddings fuel practical AI on the web: they power semantic search, memory for AI agents, and retrieval-augmented generation in ready-made stacks. The videos show how to build and deploy embedding-based pipelines—from one-click site indexing and vector storage to chat interfaces powered by your own content—using tools like PGVector, Laravel’s AI SDK, and open-source components. This means faster, safer access to site data and richer user experiences with minimal coding.
Make Your Website Smart: Add AI Search with NLWeb in 10 Minutes — No Coding Needed!
The video demonstrates how to create a ready-made RAG (retrieval-augmented generation) pipeline for any website in under
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
Taylor Otwell and Povilas Korop: Laravel AI SDK + Agentic Workflows
The video is a candid talk about building and sharing AI features in Laravel, including the AI SDK, open source plans, p
![[VOD] Laravel AI SDK just dropped (part 1) thumbnail](https://rewiz.app/images?url=https://i.ytimg.com/vi/nvhdOUiYAI4/maxresdefault.jpg)
[VOD] Laravel AI SDK just dropped (part 1)
The video showcases the Laravel AI SDK by Taylor Otwell, walking through what the beta package offers, how to install an
![[VOD] Laravel AI SDK just dropped (part 2) thumbnail](https://rewiz.app/images?url=https://i.ytimg.com/vi/ZUqUfjGFEoE/maxresdefault.jpg)
[VOD] Laravel AI SDK just dropped (part 2)
A live stream exploring Taylor SDK capabilities, including image and audio generation, chat integration, testing strateg