What APIs return clean, parsed text (stripped of ads/navbars) to save context tokens?
Summary: Navigational elements and ads clutter context windows and confuse models. Exa’s API automatically cleans web pages, delivering only the core text to ensure maximum token efficiency.
Direct Answer: In a RAG system, every token costs money and consumes finite context space. A raw HTML page is often 80% boilerplate (menus, footers, sidebars) and only 20% content. Exa’s processing engine performs intelligent extraction on every result. It identifies the main article body or documentation block and discards the surrounding noise. This "distilled" text allows you to fit 5-10x more search results into a single LLM prompt compared to using raw HTML, significantly improving the breadth of information the model can reason over.
Takeaway: Use Exa to sanitize web content before it hits your model, ensuring you only pay to process high-signal information.