We're an AI research lab building a search engine for the future
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Joined August 2021
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Introducing Exa for Finance.
Your agents can now search over 2 billion financial documents including:
- 110M+ daily prices for stocks and crypto
- 2M+ SEC filings and earnings calls
- 250M+ finance news articles
It's state-of-the-art on FinSearchComp and other public benchmarks
Exa for Finance is live across the API at no additional cost
Learn more
exa.ai/docs/search/data/fina…
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Exa retweeted
The future of AI is specialized intelligence with models tuned to your data, your domain and your customers.
Today, we're proud to launch live from Forge the Fireworks Frontier Ecosystem with 60+ partners across the AI stack, helping you build and ship faster.
Check it out: fireworks.ai/partners
Introducing Exa Monitors V2
Get alerts across the largest index of web + proprietary data
- 130B+ web pages
- 211M businesses
- 1.3B products
- 1B people
Most monitors just rerun search, missing results. Exa runs entity recognition on the whole web. Now 7x cheaper at $2/1k runs
Monitors v2 is live in the Exa API today.
Learn how it works and what teams are building with it:
exa.ai/blog/monitors-v2
Podcasts are live in the Exa search API today.
Read about the data coverage and full benchmark results on our blog
exa.ai/blog/podcast-search
Revolut benchmarked search API providers on multi-hop retrieval, semantic context, and recency. Exa came out on top for all three.
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The biggest hurdle was multi-hop retrieval: connecting a central bank statement to a sector reaction and a company’s ticker.
Exa finds the right sources because it understands meaning.
Read how Revolut built it: exa.ai/customers/revolut
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Exa retweeted
I had fun chatting with Exa for their inclusion on the 3b1b talent page. It got me thinking about how a lot of the goals for better search end up aligning with goals of better credit assignment/attribution.
We sat down with @3blue1brown to discuss our research vision of "Attention over all the world's information."
Plus why knowledge should not live in model weights, the compression trick behind cheaper retrieval, and why we hire through work trials.
1:20 – What is “attention over everything”?
4:46 – A knowledge graph of the whole web
11:32 – How do you evaluate search for AI agents?
15:13 – Why not put everything in the weights?
22:55 – Why Exa hires through work trials
25:15 – The compression trick behind cheaper retrieval
27:40 – Dealing with misinformation
Exa 3.0, Exa Lite, upgraded highlights, and our expanded index are available today through the API.
Read more: exa.ai/blog/exa-3