Pgvector

This guide explains how to create a Retrieval-Augmented Generation (RAG) chatbot using Spring AI and Vaadin. It covers project setup, application configuration, backend and frontend development, document parsing with TikaDocumentReader, embedding generation with OpenAI, and storage in PostgreSQL using PGvector. It also shows how to build a chat interface for interacting with uploaded documents.