Exa

Teams use Exa when they need web evidence inside an application, not just links. A common workflow starts with a query built from user input, a company name, or a topic list. Exa returns a ranked set of sources, which you can filter by domain, recency, or type of site. From there, the same pipeline pulls the actual page text, extracts key fields, and stores the results so an LLM can cite them during generation.

In RAG systems, Exa is typically placed before embedding and retrieval: search first, collect the best pages, fetch full content, then chunk and index. This keeps the knowledge base fresh without manual curation. Research agents use it to validate claims, compare viewpoints across multiple sources, and keep a trail of URLs and metadata for auditing.

For monitoring, Exa can run scheduled queries for a brand, product, executive, or competitor. New or changed pages are fetched, summarized, and routed to dashboards or alerts. Analysts often use the metadata to track coverage over time, spot emerging topics, and generate briefings grounded in the original pages.

When the goal is building lists of entities, Websets is used to discover and enrich records at scale. A sales or recruiting workflow might start with a rough description of an ideal target, expand into a larger set of candidates, then add attributes like role, company site, or relevant mentions from the web. The output can be pushed into a CRM, ATS, or internal database for follow-up.