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Article: Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot

Everyone is focused on RAG. Nobody is talking about Context-Augmented Generation (CAG) - the architectural evolution that's solving enterprise AI's biggest problems.

Reporting by InfoQ AI/ML 1 min brief
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The KeyNews take

Why it matters

This represents a significant technical evolution in enterprise AI architecture, moving beyond basic RAG to context-aware systems that can handle complex enterprise requirements like governance, user identity, and policy constraints - critical for enterprise AI adoption.

The key facts

5 to know

  1. Context-Augmented Generation (CAG) as architectural refinement of RAG

  2. Spring Boot-based context manager integration

  3. Incorporates user identity, session state, and policy constraints

  4. Improves traceability, consistency, and governance

  5. Works without altering existing retrievers or LLM infrastructure

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorporate user identity, session state, and policy constraints into AI workflows, improving traceability, consistency, and…
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