exa-plus

Neural web search across multiple data domains is performed by entering natural language queries with category targeting to find people, companies, news, research, and code. Deep search refines results for precise professional discovery.

Yes, web search results can be filtered by specific domains and date ranges. Domain filtering and date-range querying refine results, allowing you to target recent updates or specific sources for discovery.

Yes, an API key is required to authenticate and use neural search for content extraction. You must provide this key to execute search queries and run the included content extraction scripts.

Dependencies needed to run neural search and content extraction scripts are curl and jq. These command-line tools handle the API requests and parse the JSON responses returned by the neural search queries.

To search for recent research papers using neural search, input a query like "machine learning" and apply a research paper category filter. This retrieves relevant recent papers by targeting the academic research domain.

The best way to discover experts and company updates through neural search is using deep search with category targeting. This approach filters broad web content to find specific people, companies, and current news for decision-making.