Tackling rate limiting for LLM apps
Learn how rate limits affect LLM applications, what challenges they pose, and practical strategies to maintain performance.
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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.
LLMs in Prod 2025: Insights from 2 Trillion+ Tokens
Real-world analysis of 2Trillion+ production tokens across 90+ regions on Portkey's AI Gateway. Get the full LLMs in Prod'25 report today.
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
Jamming on Event-Driven Architecture and MCP for Multi-Agentic Systems
Insights from Portkey's AI Practitioners Meetup on building scalable multi-agent systems. Learn about Event-Driven Architecture patterns, Model Context Protocol implementation, and real-world experiences building multi-agents system.
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