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Rahul Agarwal

Founder | Agentic AI... • 1m

Real Agentic AI is a multi-layered system, where each layer solves a specific challenge from reasoning to compliance: 1. LLM (Core Reasoning) – Handles language understanding and generation. Alone, not enterprise-ready. 2. RAG (Retrieval Layer) – Grounds outputs with relevant data in real time. 3. Knowledge Base – Provides structured/unstructured context and enforces consistency. 4. Ethics & Safety – Filters, policy checks, and PII controls to ensure safe outputs. 5. Interaction Interface – Connects users/systems with the AI through prompts, memory, and functions. 6. External Actions – Enables APIs, tools, workflows, and automations. 7. Operational Independence – Lets the agent act autonomously, deciding what and when to do tasks. 8. Governance & Audit – Tracks logs, decisions, and approvals for transparency. 9. Regulated AI – Ensures ethical, legal, and compliant operation. Takeaway: LLM + tools alone is a prototype. True Agentic AI requires a full layered architecture.

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