Build a Local RAG with Ollama, Huggingface, FAISS and Google Gemma 3

A Python-based RAG chat application was built using Reflex, LangChain, Ollama, FAISS, and Hugging Face tools. The app retrieves relevant context from a pre-indexed dataset, feeds it to a local LLM, and displays answers in a web interface. Key steps include data loading, embedding generation, vector store creation, and LLM initialization. The project demonstrates the power of combining modern NLP tools for interactive, context-aware AI applications.