Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Introduction: Why Adaptive RAG is a Game-Changer for AI Retrieval When you ask your AI assistant a question, have you ever wondered how it decides whether to answer quickly from its memory or …

Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Retrieval-Augmented Generation (RAG) has completely transformed how we build Large Language Model (LLM) applications. It gives LLMs the superpower to fetch external knowledge and generate context-rich answers. But here’s the problem →Traditional RAG …

Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Using interrupt and conditional routing, escalate a request to a human expert If you’ve worked with Retrieval-Augmented Generation (RAG), you know it’s a game-changer for enhancing Large Language Models (LLMs) by fetching relevant …

Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. In the rapidly evolving landscape of AI agents and autonomous systems, human-in-the-loop (HITL) workflows are becoming increasingly crucial. They bring the perfect balance between automation and human oversight, enabling safer, smarter, and more …

Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Introduction In modern AI applications, we often expect systems to handle complex, multi-step tasks. Instead of relying on a single model to solve everything, we can divide tasks across multiple specialized agents that …

Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Unlock the Power of Model Context Protocol (MCP) for AI Applications Have you ever wanted to integrate custom tools — like weather APIs, or third-party services — into your AI applications seamlessly? The …

Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. In the world of AI and LLMs, agentic workflows are revolutionizing how we interact with AI systems. These workflows enable LLMs to not just generate text but also reason, take actions, and iterate …