Exa is the search API designed from the ground up for AI and semantic search. Unlike traditional keyword search, Exa understands meaning — finding conceptually related content even without matching keywords.
Features:
- Neural search — finds content by meaning, not just keywords
- Find similar pages to any URL
- Research mode — comprehensive, multi-source research synthesis
- Date-filtered search for recent content
- Domain-specific search (academic papers, news, GitHub, etc.)
- Structured content extraction with highlighted passages
- Competitor research and landscape analysis
- Technical documentation search
Where Exa wins over Brave/Tavily:
- "Find papers similar to this arXiv abstract" — understands semantic similarity
- "Find companies doing what Figma does but for 3D" — finds conceptual matches
- "What was written about [topic] before 2023?" — precise temporal filtering
Exa is the choice for research-intensive AI workflows where query precision matters.
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