Exa understands the meaning behind queries, allowing us to find relevant information even when traditional search engines fail to match keywords, such as identifying a rocket company in San Francisco.

The goal of Exa is to create a search engine that understands user queries at a deep level, similar to how GB3 interacts with users.

AI applications are emerging everywhere, and they all require effective search capabilities, which is where Exa can provide significant value.

Persistence was crucial in developing Exa; without it, we might have given up after six months of challenges in creating a functional search engine.

Exa was launched in November 2022, designed specifically for AI applications that require knowledge retrieval.

Google's original search algorithm struggled to scale as the web grew, leading to a period where users received stale search results. This crisis prompted the development of MapReduce, a system for parallelizing web crawling and indexing.

AI excels at semantic search, allowing it to find relevant information from arbitrary text, which was challenging before.

Many people mistakenly believe that large language models will replace search engines, but this transition will be challenging due to the unique functions that search engines perform.

We aim to achieve perfect search over the web, ensuring users receive exactly the information they seek, and we help companies integrate this high-quality knowledge into their applications.