Embedding models understand meaning; generative models write text. Here is how Google’s EmbeddingGemma differs from an LLM, and how they pair up in RAG.

A guide to LLM-Evalkit, Google’s lightweight open-source tool for standardizing prompt engineering with a data-driven, collaborative workflow built on Vertex AI.

What an AI agent is, how it differs from a chatbot, its core loop and components (LLM, tools, memory), the ReAct pattern, how autonomy is classified, and the open challenges that still limit reliability.

Modern AI agents don’t just respond to prompts; they run workflows — multi-step sequences of action performed autonomously to reach a goal. Here’s how that works and how to make it reliable.

A design for stateful AI agents that combines short-term conversational context with long-term, vector-based recall — so the agent stops forgetting.