exa-search

Semantic search for security research uses neural, keyword, and auto modes to retrieve contextually relevant findings rather than simple keyword matches. It understands query intent to surface high-quality results from trusted sources.

To run semantic search for threat intelligence, input a natural-language query like "recent CVEs affecting NGINX" to retrieve results. You can apply date and domain filters to scope findings and extract full-text contents for deeper analysis.

Yes, access to the Exa API is required to perform semantic search for security intelligence. Proper query construction and handling of results with optional contents and highlights are also required to execute searches effectively.

Yes, you can filter security research results by specific domains and dates. The semantic search supports date and domain filtering alongside content extraction to help you scope findings and pull full-text extracts when needed for deeper analysis.

The best way to extract full-text contents from threat intelligence findings is using the Exa API's content extraction feature. After retrieving structured results via semantic search, pull full-text extracts to support deeper analysis of CVEs or threat briefs.

Limitations of semantic search across security research results include dependency on proper query construction and access to the Exa API. Additionally, handling results with optional contents and highlights requires careful processing to ensure accurate threat intelligence analysis.