What is Knowledge Augmented Generation (KAG)?
Knowledge-Augmented Generation (KAG) is a framework that integrates the structured reasoning of knowledge graphs with the flexible language capabilities of LLMs.
Drishti Shah
Agentic AI vs. AI Agents
You've probably heard the terms "AI agents" and "agentic AI" in meetings or discussions. They might sound similar, but they're quite different approaches to building AI systems. Understanding these differences helps you pick the right tools for your projects.
Let's break down what sets them apart.
What are AI Agents?
What are AI agents?
AI agents are software programs designed to sense their environment, make decisions, and take actions independently. They can operate and adapt in various settings - from physical spaces to digital environments. Unlike AI models that simply process inputs to generate outputs, agents continuously interact with their surroundings through an ongoing
Reducing AI hallucinations with guardrails
Your chatbot just told a user that Einstein published his Theory of Relativity in 1920. Sounds plausible, right? Except it happened in 1915. This isn't a rare glitch -
A recent study revealed 46% of users regularly catch their AI systems making up facts like these, even with massive training
What are AI guardrails?
Learn how to implement AI guardrails to protect your enterprise systems. Explore key safety measures, real-world applications, and practical steps for responsible AI deployment.
The real cost of building an LLM gateway
When your AI apps start to scale, managing multiple LLM integrations can get messy fast. That's when teams usually realize they need an LLM gateway. Many developers jump straight to building their own solution, often without seeing the full picture of what's involved.
Drawing from what we've seen across engineering
LLM observability vs monitoring
Your team just launched a customer service AI that handles thousands of support tickets daily. Everything seems fine until you start getting reports that the AI occasionally provides customers with outdated policy information. The dashboard shows the model is running smoothly - good latency, no errors, high uptime - yet