AIDevWorks: Modern AI Architecture – End-to-End Design with LLM, Vector DB & RAG

What You’ll Learn

🧩 Core Architecture Components

• Large Language Model (LLM) as reasoning engine
• Vector Database for semantic search & embeddings
• RAG (Retrieval-Augmented Generation) for grounding responses

⚙️ Data & Context Flow
Query → Embedding → Search → Context Injection → Response Generation

🧱 Design Layers
Ingestion Layer → Vectorization → Retrieval → Reasoning → Response

🔄 Integration Blueprints
APIs, Agents, and Microservices for LLM workflows

🔒 Security, Scalability, and Observability considerations