Add on-device AI to your FlutterFlow project via this integration of the 'flutter_gemma" pub.dev package, allowing for the easy addition of Google's Gemma 3 & 3n models into FlutterFlow projects. This opens up local on-device AI capabilities with authenticated model downloads and real-time chat functionality.

A FlutterFlow library that transforms text documents into intelligent vector embeddings using Google's Gemma models for on-device machine learning. It processes documents into semantic vector representations, stores them locally in SQLite, and enables advanced similarity-based search and retrieval without requiring an internet connection