exa-search

# Exa AI-Powered Web Search Search query: $ARGUMENTS ## Role & Positioning Exa is the **broad web search** source with built-in content extraction: | Skill | Best for | |------|----------| | `/arxiv` | Direct preprint search and PDF download | | `/semantic-scholar` | Published venue papers (IEEE, ACM, Springer), citation counts | | `/deepxiv` | Layered reading: search, brief, section map, section reads | | `/exa-search` | Broad web search: blogs, docs, news, companies, research papers — with content extraction | Use Exa when you need results beyond academic databases, or when you want content (highlights, full text, summaries) extracted alongside search results. ## Constants - **EXA_FETCHER** — canonical name `exa_search.py`, resolved per [`shared-references/integration-contract.md`](../shared-references/integration-contract.md) §2 (Policy D1 — standalone `/exa-search` has no documented fallback, so unresolved helper terminates with an explicit error). - **MAX_RESULTS = 10** — Default number of results to return. > Overrides (append to arguments): > - `/exa-search "RAG pipelines" — max: 5` ��� top 5 results > - `/exa-search "diffusion models" — category: research paper` — research papers only > - `/exa-search "startup funding" — category: news, start date: 2025-01-01` — recent news > - `/exa-search "transformer" — content: text, max chars: 8000` — full text mode > - `/exa-search "transformer" — content: summary` — LLM-generated summaries > - `/exa-search "transf...