Building RAG-Powered AI Agents with AgentCore: What the Hands-On Tutorials Don't Tell You

Short summary

RAG tutorials teach happy-path retrieval, but production deployments hit context window limits and 30% recall loss at scale. Key gotchas: Japanese enterprise deployments need region-specific configuration, multi-turn conversations require custom context windowing, and hybrid search becomes essential beyond 1,000 documents. Budget 3-4 weeks for production hardening that tutorials won't prepare you for.

• •Embedding recall drops ~30% without hybrid search at 1,000+ document scale
• •Multi-turn conversation management requires custom context windowing to avoid unbounded latency
• •Japanese enterprise deployments have region-specific configuration quirks (Tokyo IAM roles don't work same in us-east-1)
• •Production hardening takes 3-4 weeks of optimization beyond what tutorials cover

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