RAG · RETRIEVAL
RAG (Retrieval-Augmented Generation)
What RAG is, how it actually works in production, the trade-offs most teams miss, and how I approach retrieval quality in regulated enterprise systems.
READ TOPIC →AI & GENAI / TOPICS
Production AI, not demos.
Agentic workflows, RAG, MCP, vector search, guardrails, and evaluation — as I build and operate them in regulated enterprise environments.
AGENTIC AI · LANGGRAPH
Agentic AI
What agentic AI actually is beyond the hype — stateful workflows, tools, HITL gates — and how I design agent systems that survive production in regulated domains.
READ TOPIC →MCP · TOOLING
MCP (Model Context Protocol)
Why MCP matters as enterprise AI infrastructure — standardized tool surfaces, retrieval as a contract — and how I architected an MCP-based semantic retrieval platform.
READ TOPIC →EVALUATION · LLMOPS
LLM Evaluation
How to evaluate LLM systems like an engineer — golden sets, per-node metrics, regression gates — and why vibes-based quality is the most expensive mistake in AI engineering.
READ TOPIC →PLANNED TOPICS