multi-provider-web-search

Multi-provider web search improves answer quality by fanning out the same query across Exa, Tavily, Brave, LangSearch, and Marginalia in parallel. It deduplicates overlapping content and returns an AI-summarized answer rather than raw links.

Use multi-provider search when native web search returns empty or weak results, or when you explicitly need broader coverage for code, documentation, paper discovery, and long-tail indie web search. It applies guardrails to avoid auto-picking on generic search queries.

To run parallel search, dispatch your query through the web-search-ai-summary CLI with your explicit intent, configurable result count, and timeouts. State your topic clearly, such as asking to find recent research and summarize results from multiple search providers.

Yes, multi-provider web search supports configurable result count and timeout settings via the web-search-ai-summary CLI. You can adjust these parameters when dispatching queries across Exa, Tavily, Brave, LangSearch, and Marginalia.

Yes, multi-provider search applies to targeted code, documentation, and paper discovery patterns. By fanning out across multiple backends including Exa and Brave, it captures broader coverage for technical queries than a single provider.

Multi-provider fanout search includes guardrails to avoid auto-picking on generic search queries, requiring users to explicitly request provider behavior. It also depends on parallel dispatch via the web-search-ai-summary CLI, which adds latency from querying multiple backends.