The user encountered challenges while attempting to use various methods to feed information into local Large Language Models (LLMs) via RAG (Retrieval-Augmented Generation). They explored methods such as Nvidia Chat with RTX, Ollama with Python scripts, and Ollama with Open-webui. Results varied, with some methods providing inaccurate or incomplete outputs. Comparatively, Microsoft Co-pilot, running GPT4-Turbo, significantly outperformed the local methods.