Perplexity AI is introducing a new architecture called Search as Code (SaC) to address the limitations of traditional search systems for AI agents. This approach exposes search components as programmable primitives within an SDK, allowing AI models to directly control and compose retrieval strategies. SaC aims to enable more complex, task-specific information retrieval beyond simple query-response interactions, supporting agents that perform multi-step tasks over extended periods. AI
IMPACT Enables AI agents to perform more complex, dynamic, and task-specific information retrieval, potentially improving their real-world task completion capabilities.
RANK_REASON Product announcement for a new architecture that enhances existing search capabilities for AI agents.
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