In this episode, Nathan sits down with Will Bryk, CEO of Exa.ai. They discuss how Exa enables complex, research-based searches that differ from traditional keyword-based search, how their AI uses neural and non-neural methods, why they are using their own vector database, and more. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/api

LINKS:

- Exa.ai: https://exa.ai/

X/SOCIAL:

@WilliamBryk (William)

@labenz (Nathan)

@ExaAILabs (Exa)

SPONSORS:

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TIMESTAMPS

(00:00:00) - Preview

(00:01:52) - Exploring the landscape of information retrieval tools

(00:14:19) - Exa: AI librarian for the web

(00:15:32) - Sponsors: Oracle | Omneky

(00:16:57) - AI Project Ideas

(00:22:26) - What does search built for AI mean?

(00:25:40) - Ranking with neural and non-neural methods

(00:30:50) - Sponsors: Brave | On Deck

(00:33:13) - Best practices for Exa prompting

(00:34:01) - The power of keyword search

(00:37:26) - Breaking down complex queries

(00:34:37) - The evolution of search engines

(00:39:53) - The business side of Exa

(00:40:17) - The challenges of building a web scale index

(00:39:53) - The business side of Exa

(00:50:59) - Vector DBs

(00:58:17) - Wrap

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