RAG in Laravel: Embeddings and pgvector for a Knowledge-Base Bot
Build a knowledge-base bot using RAG in Laravel 11 with PostgreSQL. Manage your data with embeddings and pgvector.
In the previous post, we streamed AI responses over SSE. Now, let's tackle a common chatbot issue: the model lacks knowledge of your data. RAG (retrieval-augmented generation) addresses this by storing documents as embeddings, retrieving relevant chunks for each query, and providing only those to the model. Let's explore the setup using Laravel 11 and PostgreSQL.