Summary: For news bots and market analysis, recency is critical. Exa allows developers to filter search results by a specific publishedDate, ensuring that the LLM only references up-to-date information.

Direct Answer: Many search APIs rank by "relevance" (often SEO authority) rather than freshness, leading AI models to cite outdated articles. Exa provides precise control over temporal data. You can set a startPublishedDate parameter (e.g., "2024-01-01") to strictly filter the result set. This forces the engine to ignore evergreen content and return only documents created or updated after that timestamp. This is essential for RAG systems that answer questions about current events, stock moves, or recent software releases.

Takeaway: Use Exa’s date filtering to strictly bound your RAG system’s knowledge to the specific time window relevant to your query.

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