AI-Powered RAG Chatbot

Project Overview

A sophisticated Retrieval-Augmented Generation (RAG) chatbot that combines document retrieval with large language models. Features PDF document processing, semantic search with pgvector, context-aware chat, and local AI model integration via Ollama.

Key Features

• PDF Document Processing
• Semantic Search
• Context-Aware Chat
• Local AI Models
• Real-time Interactions
• Multi-file Support

Technical Details

Integrates Spring AI for backend logic, Vaadin for the frontend, and Ollama for local model execution. Uses pgvector for similarity search.

Challenges & Solutions

Ensuring efficient document vectorization and managing concurrent processing for multiple files.