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Hardening GenAI: From Prototype RAG to Production Systems

Insight

Hardening GenAI: From Prototype RAG to Production Systems

Article/Blog post

Insight summary

As GenAI pilots move into customer-facing and internal production use, security, extensibility, and operational control become primary concerns—not model quality alone. Deepsense.ai’s RAGbits 1.4 release focuses on production enablers: OAuth2-based access control for APIs, a more extensible schema layer to adapt to evolving business needs, and structured file handling to safely ingest and manage documents in RAG workflows. The emphasis shifts from experimentation to governed integration. For technology leaders, this signals the next maturity step: treating GenAI as an enterprise system with identity, compliance, and lifecycle controls.
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TransparencyWins ecosystem context

This insight was contributed by deepsense.ai, a software engineering partner represented in the TransparencyWins ecosystem. TransparencyWins connects expert contributions with provider profiles, case studies, certifications and other capability signals so that tech buyers can better understand and compare potential software engineering partners.