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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