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.

At Exa, we apply a scaling hypothesis for search, believing that increasing data and compute will enhance our search engine's capabilities, unlike traditional search engines that have stagnated.

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

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

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

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

Perplexity is designed to be a more intelligent search engine than Google, particularly useful in specific scenarios.

Google's new AI mode allows for more complex queries and is a significant shift in their search capabilities, aiming to enhance user experience.

Google is evolving search to follow the user, emphasizing a user-centric approach to product development.