A command-line chatbot built with Spring AI that demonstrates Retrieval-Augmented Generation (RAG) and conversational memory capabilities.
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Updated
Jan 3, 2026 - Java
A command-line chatbot built with Spring AI that demonstrates Retrieval-Augmented Generation (RAG) and conversational memory capabilities.
The implemented agents (Langchain, Langgraph and MCP)
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
A personal Retrieval-Augmented Generation (RAG) service. Upload files or webpages, then ask questions answered strictly from that content, with conversational follow-up support.
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