Many discussions around Enterprise AI focus on LLMs, RAG, or Agentic AI, but very few explain what actually happens between a user pressing Enter and the AI generating a response.
I created a short visual walkthrough that explains the complete Enterprise AI Architecture in simple terms—from Redis Cache, Orchestrator, Memory, RAG, Embeddings, Vector Database, Reranking, AI Agents, Guardrails, and Observability to the final LLM response.
🎥 Watch here: https://youtu.be/l8RhKc6-fdo
I'd genuinely appreciate your feedback. Which architectural layer do you think has the biggest impact on production-ready AI systems?
EnterpriseAI #GenAI #RAG #AgenticAI #AIArchitecture
Connect in Linkedin:https://www.linkedin.com/in/msgobinath
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