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    <title>fullstackfusions — Engineering Blog</title>
    <link>https://fullstackfusions.com/blog</link>
    <description>Architecture, databases, and systems thinking by Mihir Patel.</description>
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    <lastBuildDate>Sat, 02 May 2026 03:17:47 GMT</lastBuildDate>
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    <title><![CDATA[The Infrastructure That Enforces Itself: Compliance-Grade Multi-Tenant SaaS on Amazon EKS]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-04-28-new-way-of-building-multi-tenant-saas/</link>
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    <pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[A deep dive into building compliance-grade multi-tenant SaaS on Amazon EKS — using Flux GitOps, Terraform Enterprise workspace versioning, Vault 2.0 workload identity, and Argo Workflows for fully automated, auditable tenant onboarding.]]></description>
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  <item>
    <title><![CDATA[Deploying Production-Grade LLM Inference on AWS EKS — A Hands-On Deep Dive]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-04-21-deploying-production-grade-inference-on-aws-eks/</link>
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    <pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[An architectural walkthrough of the GenAI on EKS workshop — vLLM, Ray Serve, Karpenter, DCGM + AMP observability, and AWS Strands Agents — with the design decisions behind each layer.]]></description>
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  <item>
    <title><![CDATA[PageIndex and Vectorless RAG — A Structural Alternative for Professional Documents]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-04-02-pageindex-vectorless-rag-structured-documents/</link>
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    <pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[Reasoning-based retrieval as an alternative to vector similarity search for structured professional documents — how PageIndex achieves 98.7% on FinanceBench, applied across healthcare, wealth management, banking, and travel with full domain use cases and implementation pathway.]]></description>
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  <item>
    <title><![CDATA[Mamba and SSMs — What the Generation Backbone Change Means for RAG]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-04-01-mamba-ssm-rag-generation-backbone/</link>
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    <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[A systems-level analysis of replacing the Transformer backbone with Mamba/SSM architectures in RAG systems — covering linear context scaling, constant KV cache memory, selective state tracking (Mamba-3), and the hybrid Transformer+Mamba pattern for enterprise deployment.]]></description>
  </item>
  <item>
    <title><![CDATA[The RAG Supporting Stack — Memory, Prompt Engineering, Fine-tuning, and Embeddings]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-31-rag-supporting-stack-memory-embeddings/</link>
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    <pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[The cross-cutting infrastructure that makes RAG systems work in practice — layered memory architecture, prompt engineering patterns, domain-specific fine-tuning, and embedding improvements including ColBERT, cross-lingual, hyperbolic, and negation-aware approaches.]]></description>
  </item>
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    <title><![CDATA[RAG in Personal Banking — Scale, AML, and Transaction Intelligence]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-30-rag-personal-banking-systems/</link>
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    <pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[L1–L4 RAG in personal banking — from FAQ deflection to agentic cash flow diagnosis. Covers PCI-DSS, FINTRAC/AML constraints, hybrid transaction dispute retrieval, financial health knowledge graphs, and the 10M+ daily transaction scale challenge.]]></description>
  </item>
  <item>
    <title><![CDATA[RAG in Wealth Management — Fiduciary Constraints and Retrieval Design]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-29-rag-wealth-management-systems/</link>
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    <pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[How L1–L4 RAG applies to wealth management platforms — from product FAQs to proactive portfolio review. Covers MiFID II suitability, IPS compliance graphs, Bloomberg/Refinitiv hybrid search, and FinBERT fine-tuning.]]></description>
  </item>
  <item>
    <title><![CDATA[RAG in Hospital Management Systems — Zero Hallucination Tolerance]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-28-rag-hospital-management-systems/</link>
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    <pubDate>Sat, 28 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[Applying L1–L4 RAG to hospital management — clinical protocol lookup, drug interaction checking, differential diagnosis with knowledge graphs, and agentic patient surveillance. Covers HIPAA, HL7 FHIR, SNOMED CT, and clinical fine-tuning constraints.]]></description>
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  <item>
    <title><![CDATA[RAG in Travel & Tourism Systems — GDS, Visa Routing, and the AI Concierge]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-27-rag-travel-tourism-systems/</link>
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    <pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[How L1 through L4 RAG applies to travel and tourism platforms — from airline FAQ bots to agentic honeymoon planners. Covers GDS integration, visa-route graphs, multilingual embeddings, and real-time inventory constraints.]]></description>
  </item>
  <item>
    <title><![CDATA[The Four RAG Levels — A Decision Framework for Enterprise Systems]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-26-rag-four-levels-decision-framework/</link>
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    <pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[L1 through L4 RAG — vanilla, hybrid, GraphRAG, and agentic — with a concrete decision framework for choosing the right retrieval level for any enterprise problem.]]></description>
  </item>
  <item>
    <title><![CDATA[The Invisible Engine: What LLM Observability Actually Looks Like in Production]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-18-importance-of-llm-observability/</link>
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    <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[Classic observability was built for deterministic systems. LLMs are not deterministic. Here's the complete engineering picture — five distinct lenses, six production challenges, and the metric every AI team should be tracking but isn't.]]></description>
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  <item>
    <title><![CDATA[LLM Fine-Tuning: What Nobody Tells You Until You've Burned the GPU Budget]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-16-llm-fine-tuning/</link>
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    <pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[A Principal Engineer's honest field guide to LLM fine-tuning — from LoRA and QLoRA mechanics to DPO, dataset curation, and the decision framework for when not to fine-tune.]]></description>
  </item>
  <item>
    <title><![CDATA[Databases: A Lead Engineer's Field Guide to Picking the Right Tool]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-15-databases-a-lead-engineers-field-guide/</link>
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    <pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[From OLTP to analytics, caches to graphs — how I think about database selection as a Lead Software Developer inching toward Principal.]]></description>
  </item>
  <item>
    <title><![CDATA[Subdomains vs Path-Based Routing: The Architecture Decision Nobody Talks About]]></title>
    <link>https://fullstackfusions.com/blog/posts/2026-03-14-subdomain-vs-path-based-routing/</link>
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    <pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate>
    <description><![CDATA[One routing choice quietly shapes your security posture, deployment pipeline, and scaling strategy. Here's how banks, hospitals, and big tech think about it — and how you should too.]]></description>
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