A step-by-step guide to building a RAG (Retrieval-Augmented Generation) system in Laravel using the new Laravel AI SDK, Postgres with pgvector, and Livewire 4. Covers core concepts including semantic search, vector embeddings, and document chunking, then walks through ingesting Markdown documents, generating embeddings,
Table of contents
The Problem With Generic ChatbotsThe Limitations of Keyword SearchHow Does Semantic Search Work?One More Thing: ChunksSetting Up a RAG System in LaravelIngesting Content: Chunking, Embedding, and StoringQuery-Time Retrieval: Finding the Right ContextBuilding the Chat UI with LivewireWhat's Next?ConclusionSort: