Internet Search

Queries a self-hosted SearXNG instance aggregating multiple search engines.

Category Routing

Always set category based on the nature of the query.

Query Formulation

Write queries as a search engine expects — keywords, not full sentences:

# Bad
"what is the fastest async runtime for rust"

# Good
"rust async runtime benchmarks 2025"

• news: include a time anchor — "OpenAI o3 release 2025" not just "OpenAI o3"
• academic: use field terminology — "transformer attention efficiency survey"
• social: phrase as community search — "reddit best mechanical keyboard 2025"

SearXNG Search Syntax (in query)

SearXNG supports lightweight query modifiers you can embed directly into the query string:

Count

• count=5 (default) — sufficient for most tasks
• count=10 — comparing many options, checking consensus
• count=3 — quick fact checks

Multi-Search Strategy

Fire multiple focused searches rather than one broad one:

# Bad: one vague search
internet_search("best way to deploy Node.js")

# Good: three targeted searches
internet_search("Node.js Docker deployment best practices 2025")
internet_search("Node.js PM2 vs Docker production", category="social")
internet_search("Node.js zero-downtime deployment strategies")

Combine general + social for factual + sentiment coverage:

internet_search("Bun runtime performance vs Node.js benchmarks")
internet_search("Bun runtime production experience", category="social")

When NOT to Use

• Things you already know with high confidence
• Stable API docs or well-known syntax — use training knowledge
• Repeating a search that already answered the question

Common Mistakes