Web Extraction and Retrieval Architectures for Production AI Agents: Comparing Tavily, Exa, Firecrawl, Jina Reader, and Crawl4AI
Autonomous AI agents and Retrieval-Augmented Generation (RAG) systems require live web access to ground answers, verify facts, and execute multi-step research workflows. However, feeding raw web data directly into large language models creates severe performance and economic bottlenecks. A standard web page contains between 50 KB and 500 KB of Document Object Model (DOM) data, cascading stylesheets (CSS), JavaScript bundles, SVG icons, tracking scripts, and boilerplate navigation headers. Inges
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