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RAG systems are already used in real products and internal workflows, and the main challenges appear once they start working with real data and existing systems. This article looks at companies that build RAG as part of working applications and what to pay attention to when choosing a development partner.

Today, organizations are investing heavily in AI to unlock the value of their internal knowledge, but accuracy and scalability remain major challenges. This is the first article in a series by Integrio Systems, where we share hands-on experience in building enterprise AI knowledge systems and explore practical approaches, including RAG, MCP, and API-driven architectures.