Exa

Exa is a search engine and API built specifically for AI applications, designed to find web content based on meaning rather than just keywords. Where traditional search APIs match strings of text, Exa uses neural, embeddings-based search to understand the intent behind a query, returning results that are semantically relevant — exactly the capability AI developers need when building agents, retrieval-augmented generation (RAG) systems, and research tools that must pull accurate, on-topic information from the web.

The core idea is powerful for AI use cases. Instead of asking the web for pages containing certain words, you can describe what you're actually looking for — a concept, a type of company, a kind of article — and Exa surfaces pages that genuinely match that meaning. It also returns clean, structured content from those pages, ready to feed into language models, and supports features like finding similar pages and filtering, which are invaluable for building research agents and knowledge tools that need high-quality, relevant sources.

For developers building AI products, Exa solves a real bottleneck: giving LLMs reliable, relevant, up-to-date access to the web. Generic search APIs designed for human queries often return noisy, keyword-matched results that aren't ideal for machine consumption, while Exa is purpose-built to retrieve the right content and deliver it in an AI-friendly form. This makes it a key piece of infrastructure for the wave of AI applications that need to search, research and reason over the live web. As AI agents and RAG systems proliferate, the quality of their web retrieval directly shapes their usefulness. For developers who want their AI to find and use the best, most relevant web content based on meaning, Exa offers a modern, neural search engine and API built for exactly that purpose.