The Mixture of Agent (MoA) architecture is a sophisticated framework designed to leverage the strengths of multiple specialized agents working collaboratively to solve complex problems. At its core, this architecture integrates various agents, each with distinct roles and capabilities, to operate in a cohesive manner.

Harnessing LLMs for robust data extraction and formatting from financial PDFs does more than streamline operations; it fundamentally transforms how businesses can leverage their data assets.

This article delves into the intricacies of prompt engineering, examining the subtle yet powerful techniques that can transform the effectiveness of AI interactions.

By interfacing directly with continuously updated databases and publications, RAG-equipped models are significantly less prone to producing outdated or erroneous information.