skills/smithery.ai/exa-performance-tuning

exa-performance-tuning

Installation
SKILL.md

Exa Performance Tuning

Overview

Optimize Exa search API response times for production workloads. Key levers: search type selection (instant < fast < auto < neural < deep), result count reduction, content scope control, result caching, and parallel query execution.

Latency by Search Type

Type Typical Latency Use Case
instant < 150ms Real-time autocomplete, typeahead
fast p50 < 425ms Speed-critical user-facing search
auto 300-1500ms General purpose (default)
neural 500-2000ms Best semantic quality
deep 2-5s Maximum coverage, light deep search
deep-reasoning 5-15s Complex research questions

Instructions

Installs
1
First Seen
Apr 22, 2026
exa-performance-tuning from smithery.ai