external-context

Fetching external documentation works by decomposing a query into 2-5 facets and running parallel web searches across official docs, blogs, and GitHub. Multiple document-specialist agents gather sources simultaneously, returning a synthesized summary with citations.

Parallel knowledge retrieval decomposes a research topic into distinct facets, spawns multiple agents to search official docs and GitHub simultaneously, and synthesizes source-cited results to accelerate technology evaluation and research.

Yes, parallel web search coordinates multiple document-specialist agents to gather context from official docs, blogs, and GitHub simultaneously. It decomposes your query into facets, runs parallel searches, and returns synthesized output with sources cited.

The best way to research multiple facets simultaneously is decomposing a query into 2-5 facets and invoking parallel Task-based document-specialist agents. Each agent searches diverse sources concurrently, producing a structured, source-cited summary.

Yes, explicit facet decomposition is required. The process breaks a query into 2-5 facets, then invokes parallel Task-based agents to search official docs, blogs, and GitHub, ensuring comprehensive coverage across diverse sources before synthesizing output.

Parallel research agents are not suited for simple, single-answer queries that require no facet decomposition. The approach requires explicit decomposition into 2-5 facets and parallel Task-based agent invocation, making it excessive for straightforward documentation lookups.