TLDR Tech / AI
Rethinking Search as Code Generation
Perplexity introduces Search as Code (SaC) to modernize search architectures by allowing models direct control over the search process via an SDK. This approach lets AI models configure search pipelines tailored to specific tasks, improving performance and efficiency over traditional monolithic systems. SaC outperformed competitors in benchmarks, especially in complex tasks like WANDR, demonstrating its robust, cost-effective agentic search capabilities.
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