Agentic AI Architecture: RAG, Tools, and Multi-Agent Orchestration

Description

Agentic AI is evolving beyond single LLM prompts into tool-using agents and multi-agent collaboration. This talk breaks down the agentic cycle (perceive, reason, act, learn), architectural patterns (single, hierarchical, collaborative), orchestration strategies, and security risks to watch. What you’ll learn: - Evolution: LLM → RAG → tools → agents → multi-agent systems - Agentic cycle: perceive, reason, act, learn (PRAL) - Architectures: single agent, hierarchical, collaborative committees - Orchestration: sequential, concurrent, and handoff patterns - Security risks: prompt injection/remote-exec analogs, memory poisoning/extraction - Governance and least privilege for tokens, APIs, and data - Why this is workflow transformation, not just task automation Learn more: - Kong: https://konghq.com - Kong Gateway (API gateway & plugins): https://konghq.com/products/kong-gateway - Kong Konnect (cloud platform): https://konghq.com/products/kong-konnect - Kong Mesh (service mesh): https://konghq.com/products/kong-mesh Subscribe for more developer-first content on APIs, service connectivity, and AI-driven architectures. #AgenticAI #AI #API #KongGateway #RAG #LLM #Automation #Security #Governance #ServiceMesh