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The New Stack’s webinar explores retrieval workloads from hundreds of AI agents

The New Stack argues that more caching or a larger vector database isn’t enough when hundreds of AI agents access a retrieval layer at once.

The New StackTN
2 Sources, 19d ago, first seen 19d ago

TLDR

The New Stack is promoting a webinar for AI application builders about what breaks when hundreds of agents retrieve information simultaneously. It argues that simply adding caching or a larger vector database won’t solve the problem. The event description promises a live demonstration of failure modes and a fix.

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1.7K

2 Sources, first seen 19d ago

4 likes1 comments1 saves2 reposts

Combined views

1.7K

2 Sources, first seen 19d ago

4 likes1 comments1 saves2 reposts

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2 Sources

The New Stack@thenewstackHundreds of AI agents hitting your retrieval layer at once changes the problem entirely. Join us to explore what breaks under agent-scale retrieval workloads and why simply adding more caching or a larger vector database isn't enough. Register now: https://bit.ly/45Ihf0319d
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    2 Sources

    The New Stack@thenewstackHundreds of AI agents hitting your retrieval layer at once changes the problem entirely. Join us to explore what breaks under agent-scale retrieval workloads and why simply adding more caching or a larger vector database isn't enough. Register now: https://bit.ly/45Ihf0319d
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