"Do we still need (traditional) search engines when AI can do & knows everything?" That was the que...
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Qdrant on X: ""Do we still need traditional search engines when AI can do & knows everything?" That was the question Cha...
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- 主题聚焦："Do we still need traditional search engines whe
- 来源：Qdrant(@qdrant_engine)，建议结合原文判断细节。
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Qdrant on X: ""Do we still need (traditional) search engines when AI can do & knows everything?" That was the question Charlie Hull put to our @krotenWanderung , Atita Arora, Jo Kristian Bergum, and Dmitry Kan at @berlinbuzzwords, and nobody agreed it was time to throw the engines away. A https://t.co/g2TqZ0xAJX" / X
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"Do we still need (traditional) search engines when AI can do & knows everything?" That was the question Charlie Hull put to our
@
krotenWanderung
, Atita Arora, Jo Kristian Bergum, and Dmitry Kan at
berlinbuzzwords
, and nobody agreed it was time to throw the engines away. A few moments worth checking out: [1] Dmitry Kan brutally admitted he closed his laptop for three days after ChatGPT first launched. Just sat there, thinking “it’s over”. Then opened it back up and got on with it, and ever since it’s not even close to “over”, for him & for all the “search” people. [2]
named three "old but gold" search techniques she keeps seeing people reinvent in their agentic search pipelines: relevance feedback loops, MMR for result diversity between hops, and crowdsourcing-style sub-agent evaluations. All from decades ago. All suddenly very relevant again. [3] And Jo said that AI agents are better users of keyword search than humans ever were. The honest conclusion, as
put it, "I don't think we solved search. I think everything became even more complicated." But in the best possible way:) Link to see the full video:
youtube.com/watch?v=StaPk0…
5:06 AM · Jun 30, 2026
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