Objective
Exa operates as a specialized search infrastructure that prioritizes semantic relevance over lexical matching. By leveraging an in-house retrieval model, it identifies web content that aligns with the context of a prompt, facilitating more accurate data retrieval for Retrieval-Augmented Generation (RAG). Its functionality is distributed across five primary endpoints: Search, Crawl, Answer, Research, and Websets. According to internal benchmarks, it maintains low latency and high accuracy on factuality datasets like FRAMES and SimpleQA. The system is built to handle complex, high-volume queries for industries ranging from finance to recruiting.