Start by creating a knowledge base in Zammo and indexing the content you want your conversational AI to use. Next, set up a RAG project. Then, simply select the FAQ knowledge base predefined experience.
Select which RAG Project you’d like to use.
You can choose how suggested actions should work after each answer. The AI can generate follow-up suggestions based on the context of the conversation, show a fixed list of suggested actions, or not suggest any actions.
The Agent Designer applies the appropriate settings and builds a Retrieval-Augmented Generation experience—no manual configuration required.
With Zammo Agents you can create a RAG-powered agent without the heavy technical lift. Teams can build and deploy AI agents quickly, which means ideas turn into real solutions faster and more people across the organization can actually participate and add value.