RAG & AI Application Development
Built interactive RAG applications with Python, LangChain, and Qwen, covering document processing, embeddings, Chroma vector storage, and Top-K retrieval. Used LangChain create_agent to build a ReAct agent, exposed RAG retrieval as a callable tool, and applied middleware for tool-call monitoring, exception handling, and dynamic prompt switching.