MongoDB's new tutorial reveals how to construct a Retrieval-Augmented Generation system using Google's lightweight Gemma models and open-source components. This approach gives developers full control over their AI stack while avoiding vendor lock-in. The implementation leverages MongoDB's vector search capabilities for efficient knowledge retrieval paired with locally run LLMs.