skills/smithery.ai/exa-core-workflow-a

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-js installed and EXA_API_KEY configured
  • 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
Installs
1
First Seen
Mar 31, 2026
exa-core-workflow-a from smithery.ai