Building reliable AI agents hinges on robust data engineering principles, not just advanced models. Challenges in data retrieval, freshness, and consistency are critical. Focusing on these data architecture issues is essential for developing functional AI systems, as a better model cannot compensate for poorly accessed or outdated information.
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