AI & Large Language Models
RAG Chatbot – Retrieval-Augmented Generation
An intelligent chatbot using embeddings, vector search, and LLMs.
Completed: July 2025
About This Project
A Retrieval-Augmented Generation (RAG) chatbot that combines a large language model with vector-based information retrieval. The system uses embeddings to index documents, retrieves relevant context using a vector database, and generates accurate responses using an LLM. The project includes data preprocessing, embedding generation, vector store construction, and a Streamlit interface for real-time interaction.