Introducing our most accurate search yet

Firecrawl has released a significant update to its /search feature, introducing a custom relevance model that enhances the precision of query results by extracting the most relevant excerpts from web pages. This model improves efficiency by using 10 times fewer tokens than processing full pages, thus speeding up processing and reducing costs while maintaining high accuracy, as evidenced by a 94.7% score on OpenAI's SimpleQA benchmark. The system evaluates and scores each paragraph, list, and table against a query, ensuring that only the most pertinent information is returned. This enhancement allows for more efficient multi-step searches, better lead enrichment, and more effective research and market intelligence gathering. Existing users will automatically benefit from this improvement without needing to modify their current code, as the API remains unchanged in structure, still providing titles, URLs, and description alongside query-relevant excerpts. The upgraded /search is now available across all Firecrawl platforms, promising state-of-the-art search capabilities with minimal adjustments required by the user.

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