Rethinking Search as Code Generation (research.perplexity.ai) AI

Perplexity’s research article argues that traditional “monolithic” search interfaces are too rigid for code-capable AI agents, and proposes a new “Search as Code” (SaC) architecture where models access atomized search primitives via an SDK and assemble custom retrieval pipelines using generated Python code in a secure sandbox.