GroqRAG is a hybrid Retrieval-Augmented Generation (RAG) system built for high-speed, high-accuracy AI-powered question answering. It leverages the local processing capabilities of Meta’s LLaMA 3.2 via Ollama for generating context-rich embeddings, and pairs it with Groq’s lightning-fast inference engine to generate precise and relevant responses. Users can ask questions based on custom documents, and the system retrieves, ranks, and responds using modern open-source LLM tooling. The app is built with Streamlit for easy interaction and is optimized for local testing, demos, and educational use — blending both local (Ollama) and cloud (Groq) intelligence in one powerful chatbot.
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