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These engines navigate document sources with human-like logic, allowing for the incorporation of expert "tribal knowledge" into the AI’s decision process.

Retrieval-Augmented Reasoning is a paradigm that goes beyond simple information retrieval. It involves a "reasoning engine"—often guided by a high-level —to drive multi-step, explainable inference. Al.rar

Unlike static models, RAR systems can learn from scratch and update their internal knowledge through "retrieval-augmented reflection" without requiring expensive retraining. explainable inference. Unlike static models