Oraczen’s Post

Going beyond RIG & RAG: Agentic AI - What's the Difference?   👉 Let’s explore how different AI architectures handle a customer support query for a SaaS product, which is particularly relevant for enterprise environments.   ⏩ RAG (Retrieve, Rerank, Respond): Imagine a customer asking, "How do I integrate your software with my existing CRM system?" RAG would search its database to find a pre-written response based on similar past queries, like a general guide on software integration. While this works for straightforward questions, it doesn't cater to specific CRM systems or particular customer setups, which might have been updated since the guide was written.   ⏩ RIG (Retrieve and Integrate during Generation): Now consider the customer specifies, "I’m using the latest version of Salesforce; how does the integration work?" RIG would actively search for the most recent integration guidelines specific to the latest Salesforce update during the conversation. This approach ensures the customer receives a more current response. However, RIG might still not fully address unique configurations or recent issues reported by other users.   ⏩ Agentic AI: Let’s up the complexity: "Our team just upgraded to the newest Salesforce, but we’re experiencing sync issues with your software. What should we do?" Agentic AI employs several specialized agents to tackle this multifaceted problem. One agent retrieves information on known issues with the newest Salesforce version, another reviews the latest patches or updates from both the CRM and your software, and yet another analyzes recent customer service tickets for similar complaints. Together, they synthesize this information to provide a customized, informed solution, potentially even initiating a proactive patch or suggesting detailed troubleshooting steps.   Agentic AI not only addresses the immediate query but also adapts and learns from each interaction, providing a foundation for continually improving customer service capabilities. This sophistication in handling complex queries efficiently makes Agentic AI an invaluable tool in enterprise environments, driving better outcomes and enhancing user satisfaction. Curious to learn more about cutting-edge AI solutions like Agentic AI? Follow Oraczen to stay updated on the latest innovations and discover how we’re redefining enterprise technology. oraczen.ai #SystemArchitecture #AIEngineering #TechnicalDesign #Oraczen

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