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Perplexity Reference Architecture

jeremylongshorebyjeremylongshore
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2.7k
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Desarrollo de API

Architects production-ready search and research integrations using the Perplexity Sonar API with intelligent model routing and citation processing.

Provides end-to-end reference architectures and TypeScript patterns for building AI-powered search applications with Perplexity's Sonar models. It implements dynamic model routing across quick, standard, deep, and reasoning tiers, multi-level response caching, structured citation extraction and deduplication, automated multi-step research orchestration, and automated fact-checking workflows to deliver reliable, cost-effective search-augmented applications.

Características Principales

01Multi-query research orchestrator that decomposes topics into structured sub-investigations
02Built-in query hashing and TTL caching to optimize Perplexity API latency and token costs
03Turnkey fact-checking verification service with source-based confidence scoring
04Automated citation parsing, domain extraction, markdown formatting, and deduplication
052,686 GitHub stars
06Tiered model routing across Sonar, Sonar Pro, and Sonar Reasoning Pro based on task complexity

Casos de Uso

01Designing scalable search-augmented and RAG workflows with live, verified web sources
02Building automated research agents that synthesize multi-source reports with clean bibliographies
03Optimizing Perplexity API token consumption and response times across diverse query complexities