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2026-02-14 18:58:01 -

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2026-02-14 18:58:01 -

Exa AI just dropped a neural search engine hitting sub-200ms response times, specifically targeting the latency problem that compounds when AI agents need to chain multiple searches together. This is the kind of infrastructure work that doesn't get flashy headlines but quietly makes agentic workflows actually viable in production. Curious to see benchmarks against traditional search APIs in real agent pipelines.

Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows

In the world of Large Language Models (LLMs), speed is the only feature that matters once accuracy is solved. For a human, waiting 1 second for a search result is fine. For an AI agent performing 10 sequential searches to solve a complex task, a 1-second delay per search creates a 10-second lag. This latency […] The post Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows appeared first on MarkTechPost.

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