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“Just add LangChain.”“Plug in Pinecone.”“Upload PDFs and go.”RAG (Retrieval-Augmented Generation) has been marketed as simple — but in production systems, especially in regulated domains like BFSI, GovTech, or AI SaaS, most RAG setups fall apart.We’ve worked with LLMs and structured…
SaaS is rarely single-tenant in practice. Most modern B2B and AI-native platforms — from analytics dashboards to RAG systems — are built on multi-tenant architecture.But most developers underestimate what true tenant isolation, RBAC, quota enforcement, and observability require. We’ve built…
LLMOps is the discipline of operationalizing large language models (LLMs) with production constraints in mind — including latency, security, auditability, compliance, and cost. Unlike MLOps, which centers around model development and deployment, LLMOps governs inference infrastructure, prompt workflows, model orchestration,…