Building a Local RAG Chat App with Reflex, LangChain, Huggingface, and Ollama
A Retrieval-Augmented Generation (RAG) chat app was developed using Python, combining Reflex, LangChain, Ollama, FAISS, and Hugging Face. It retrieves context from a pre-indexed dataset, feeds it to a local language model, and displays answers via a web interface. Key components include data processing, embedding generation, vector store creation, and LLM setup. The app showcases RAG's ability to improve language...