A command-line chatbot built with Spring AI that demonstrates Retrieval-Augmented Generation (RAG) and conversational memory capabilities.

RAG-Enabled is a Python-based assistant that combines Retrieval-Augmented Generation (RAG), LangChain, and OpenAI to deliver intelligent responses. It supports multi-format document loading, context retrieval via ChromaDB, and auto-compresses chat history after 8 messages to maintain memory efficiency.

Spring connection with LLMs

🤖 Build efficient interviews with this CLI chatbot, featuring natural language processing and conversation management for professional settings.