RagWiser RAG System

Example Use Cases

• 1

  Extract and query information from PDF documents using natural language.

• 2

  Integrate advanced document search and question answering capabilities with OpenAI GPT models.

• 3

  A containerized, scalable RAG system with vector search backed by PostgreSQL and pgvector.

Description

RagWiser enables users to upload PDF documents, process and vectorize their content, and ask natural language questions about them. It leverages Spring AI, PostgreSQL with pgvector, and OpenAI's GPT-4 to provide accurate, context-aware answers. The system includes a React-based UI for easy interaction and supports containerized deployment with Docker.