Exa is an AI-powered search API built for AI applications, namely large language models (LLMs) and retrieval-augmented generation (RAG) systems. Unlike other search engines, it uses neural embeddings and transformer technology to interpret query intent and deliver high-quality, real-time web data with spam removed. It's ideal for developers and researchers who need precise, actionable information for AI-driven projects.
Exa's primary functionality offers three endpoints: Search, Contents, and FindSimilar. The Search function offers neural (semantic) and keyword searchability, taking queries from phrases to paragraphs, with options for domain filtering, date restriction, and "livecrawl" for the latest information. Contents returns full text, highlights, or AI-generated summaries of results, with customization options for length and format. FindSimilar identifies pages that are thematically similar to a given URL or text, using embeddings for meaning relationships.
There are other features enhancing usability: domain inclusion/exclusion, real-time crawling support, and integration into frameworks like LangChain and LlamaIndex through Python/JavaScript SDKs. This makes Exa frictionless for AI workflows, enhancing RAG performance and reducing LLM errors. It is also scalable, with a free plan that offers 1,000 searches a month and pay-as-you-go pricing between $0.0025-$0.025 per search and $0.001 per content extraction.
Exa's semantic precedence sets it apart, aiming to structure the internet as a "library of knowledge." It's affordable and flexible compared to APIs like Bing or Google, though people need to verify accuracy on niche topics due to its real-time nature. Overall, Exa enhances AI systems with relevant, revised information and is a valuable addition to modern development as of March 7, 2025.
The product (Exa) starts at 0.25 USD.
