Author(s): Sai Kumar Yava Originally published on Towards AI. Something fundamental is shifting in how we build software. For years, we’ve operated in a world of predictable inputs and deterministic outputs — write the code, test it thoroughly, ship when it passes …

Author(s): Sai Kumar Yava Originally published on Towards AI. Agentic Multimodal RAG Why Traditional RAG Falls Short If you’ve worked with Retrieval-Augmented Generation systems, you’ve probably hit their ceiling. Ask a traditional RAG system a straightforward question, and it performs admirably — …

Author(s): Sai Kumar Yava Originally published on Towards AI. User queries are messy. They arrive riddled with typos, dripping with ambiguity, missing critical context, or loaded with assumptions that only make sense in the user’s head. Yet these imperfect queries are the …

Author(s): Sai Kumar Yava Originally published on Towards AI. Connecting Patterns to Production The gap between a demo AI agent and a production-ready system is vast. I’ve seen countless teams build impressive prototypes only to struggle when deploying to real users. The …

Author(s): Sai Kumar Yava Originally published on Towards AI. Human in the Loop : Building Reliable AI Picture this: Your company deploys an AI agent to handle customer support tickets. For weeks, it works beautifully — until one day it confidently tells …

Author(s): Sai Kumar Yava Originally published on Towards AI. Your AI agent just lost three hours of work because a cloud function timed out. It happens constantly in production AI systems, and it’s not because your code is bad — it’s because …