Dr. Anil Variyar
AI researcher and educator specializing in Retrieval-Augmented Generation (RAG) and agentic-ai. Known for conceptual clarity in explaining complex AI workflows through practical examples.
- RAG vs Agents video (2026-04-14): Demonstrates key differences using weather forecasting application:
- Standard LLMs cannot provide real-time data (e.g., future weather forecasts) without external knowledge
- rag enhances LLMs by retrieving relevant information from knowledge bases before generation
- agentic-ai autonomously execute multi-step workflows (e.g., querying APIs → processing → generating responses)
- Focuses on practical implementation boundaries between augmentation (RAG) and autonomous action (Agents)
Backlink: 2026 04 14 Difference between RAG and Agents for workflow
- 2026-04-29 2026-04-29-OpenClaw-Inside-AI-Agents-LLMs-and-the-Agentic-Loop ← Openclaw Inside Ai Agents Llms And The Agentic Loop
- 2026-04-22 2026-04-22-AI-Agent-Skills-Bridging-LLM-Procedural-Knowledge-Gaps-and-Structure ← Ai Agent Skills Bridging Llm Procedural Knowledge Gaps And Structure
- 2026-04-28 2026-04-28-ChatGPT-Workspace-Agents-Redefining-Business-Automation ← Chatgpt Workspace Agents Redefining Business Automation