AI agents are becoming core enterprise infrastructure, and retrieval-augmented generation (RAG) is the knowledge layer that powers them. This eBook explains how RAG-as-a-Service is evolving from simple retrieval APIs into adaptive, orchestrated platforms built for scale. Learn what enterprise buyers need in 2026 to balance cost, governance and performance—and how to choose a solution that won’t require rebuilding as AI adoption accelerates.
Key Takeaways
- RAG is now foundational infrastructure, not a chatbot feature
- Modularity and model flexibility are the keys to being future-ready
- Retrieval must be tailored by use case, not a one-size-fits-all approach
- Knowledge layer reduces cost and complexity at scale
- Platform choice determines long-term AI agility and control
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