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To get cited web research, you can use a multi-agent approach that decomposes a query into independent facets and runs parallel document-specialist searches. This synthesizes findings from official docs with explicit source URLs.

The best way to compare frameworks is applying facet decomposition to break the comparison into independent angles, running parallel research, and synthesizing the results with citations for easy verification.

Query decomposition improves web research by splitting a single question into 2-5 independent facets, enabling broad coverage across multiple sources instead of relying on a single search pass for best practices.

Yes, you can collect information synthesis by running constrained parallel agent invocations on independent facets. This produces structured key findings and a sources list without manual stitching.

Yes, this parallel research approach works for summarizing conventions by running focused document-specialist searches across official docs and reputable sources, then consolidating the results with URLs.

You should not use a multi-agent search for simple documentation lookup when a single search pass is sufficient, as facet decomposition and parallel agents add overhead suited for broad technical research tasks.