I designed and developed an AI-powered knowledge assistant based on Retrieval-Augmented Generation (RAG). The system allows users to ask questions and receive accurate answers based on a custom knowledge base. I used LangChain to build the pipeline, including document processing, embeddings, and vector search. The assistant retrieves relevant information and generates contextual responses using large language models. I also implemented automation workflows and optimized performance for fast and reliable responses. This project improves knowledge accessibility and enhances user interaction.