exa-core-workflow-a
Installation
SKILL.md
Exa Core Workflow A — Neural Search
Overview
Primary workflow for Exa: semantic web search using search() and searchAndContents(). Exa's neural search understands query meaning rather than matching keywords, making it ideal for research, RAG pipelines, and content discovery. This skill covers search types, content extraction, filtering, and categories.
Prerequisites
exa-jsinstalled andEXA_API_KEYconfigured- Understanding of neural vs keyword search tradeoffs
Search Types
| Type | Latency | Best For |
|---|---|---|
auto (default) |
300-1500ms | General queries; Exa picks best approach |
neural |
500-2000ms | Conceptual/semantic queries |
keyword |
200-500ms | Exact terms, names, URLs |
fast |
p50 < 425ms | Speed-critical applications |
instant |
< 150ms | Real-time autocomplete |
deep |
2-5s | Maximum quality, light deep search |
deep-reasoning |
5-15s | Complex research questions |