Building Accurate and Secure AI Agents to Boost Organizational Productivity
Introduction to AI Agents in Business Productivity As organizations seek to improve their productivity, the role of artificial intelligence (AI) agents becomes increasingly important. These AI agents must be accurate, reliable, and tailored to the specific data of each business. The challenge lies in developing AI systems that not only understand vast amounts of information but also apply it securely and effectively to support business decisions. What Are Retrieval-Augmented Generation (RAG) Models? Retrieval-Augmented Generation, or RAG, is a technique that combines information retrieval with AI generation. Instead of relying solely on pre-trained knowledge, RAG models actively search through relevant documents to gather precise data before generating responses. This method helps AI agents provide answers grounded in up-to-date and context-specific information, improving their accuracy and relevance. The Importance of Business-Specific Data Generic AI models often lack the ...