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4 articlesin AI Engineering & Architecture
AI Engineering & Architecture
Democratizing Data: Natural Language Queries for Business Intelligence
Letting everyone ‘ask anything’ without governance creates wrong answers at scale. The best programs pair natural language with metrics definitions, permissions, and validation—not raw database chat.
NL AnalyticsBusiness IntelligenceConversational BIData Access12 min read
AI Engineering & Architecture
Model Context Protocol (MCP) and the Future of Cross-Platform Agentic Workflows
Agents need more than a model—they need governed access to systems of record. MCP-style standards are about composable, auditable connections instead of one-off integration spaghetti.
MCPAgentic WorkflowsInteroperabilityMulti-Agent13 min read
AI Engineering & Architecture
The RAG Architecture Guide for Enterprise AI Search
RAG is not “dump documents into a vector DB.” It is information architecture: entities, freshness, permissions, and factual density so models retrieve the right evidence every time.
RAGVector DBEnterprise SearchLLM15 min read
AI Engineering & Architecture
Breaking the “Pilot Fallacy”: Scaling AI Agents from Sandbox to Production
An 80% success rate wins a demo and loses a production rollout. Scaling agents requires the same discipline as any mission-critical software—plus new tooling for nondeterminism and abuse.
LLMOpsProduction AIAgent ScalingMLOps14 min read