In the Press
570 PetaTOPS to make a search engine better than Google's
Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
MIT Tech Review - The startup trying to turn the web into a database
Techcrunch - Exa raises $17M from Lightspeed, Nvidia, Y Combinator to build a Google for AIs
Business Wire - Exa raises $22M to build the search engine for AI.
AI engineer World’s Fair - How Exa serves billion-scale vector search.
The Cognitive Revolution Podcast - How Exa enables complex, research-based searches that differ from traditional keyword-based search.
Product updates
Blog
A Perfect Search Engine
Before exploring other worlds, we should fully understand our own
Will Bryk
January 7, 2025
How we built a web-scale vector database
It uses clustering, matryoshka embeddings, binary quantization, and SIMD operations. Written in rust of course 🦀
The Exa Team
December 17, 2024
Exa raises Series A to build the search engine for AI.
Funding led by Lightspeed Venture Partners will allow Exa to scale their first search product and become the data layer for AI applications.
The Exa Team
July 16, 2024
We need superknowledge before superintelligence
The most important technical problem of our time
Will Bryk
July 12, 2024
Scaling our highlights server
Serving real-time embeddings at scale is challenging. To launch Exa Highlights, we 4X’ed throughput by migrating from Python to Rust.
Hubert Yuan
February 21, 2024
Announcing Exa
Same mission, new name
Will Bryk
January 25, 2024
Building Search for the Post-ChatGPT World
Our information ecosystem is broken, and the best way to fix it is to combine LLMs with high quality content from the Internet
The Exa Team
August 8, 2023