Tag: ai-architecture
How to run Claude in compliance-heavy environments
Running Claude on regulated data is a solved problem in 2026 if you pick the right deployment surface and match it with the right contractual paper. Three architecture patterns cover HIPAA, SOC 2, GDPR, FINRA, FedRAMP, and ITAR. Most compliance objections are fixable, and the real leak paths are almost never the model.
Knowledge graphs vs vector search: Why the hybrid approach wins
Choosing between knowledge graphs and vector databases is a false choice. Knowledge graphs excel at structured relationships while vector databases handle semantic similarity, but the HybridRAG study shows combining both delivers measurably better accuracy on complex queries. Here is how to decide which approach fits your specific problem.
Multi-model AI strategies - why diversity is your safety net
When ChatGPT went down for 12 hours in June 2025, thousands of businesses had no fallback. Multi-model routing is fast becoming standard for serious AI deployments. Task-specific routing can cut inference costs by up to 85 percent. Resilience through model diversity is not optional.
Claude Code - When to use task tool vs subagents
Stop guessing about Claude Code orchestration. The difference is clear: Tasks for parallel search with 10-concurrent batch limits, subagents for persistent expertise. This is the decision framework emerging from real production patterns and user experiences.