deep-research

To synthesize cross-workstream research, use the multi-hop loop to plan, search, decide, and synth steps. This surfaces evidence from multiple sources, traces reasoning across files, and identifies contradictions for robust conclusions.

Multi-hop research over a knowledge corpus involves a four-hop loop: plan, search, decide, and synth. It traces reasoning across files to surface evidence and gaps, ensuring robust conclusions without switching contexts.

Trace reasoning across documents by triggering the deep-research loop within a Claude session. It enforces a plan-search-decide-synth cycle with inline citations and strict stopping conditions to surface contradictions and gaps.

Yes, you can trigger memory recall across past sessions for cross-workstream reasoning. The interactive loop retrieves and cross-references evidence with inline citations and source-traceability across your knowledge model.

Prevent over-searching using strict stopping conditions enforced during the decide phase of the research loop. These guards halt retrieval once sufficient evidence is surfaced, avoiding over-search and incomplete results.

No, deep-research requires no external dependencies to synthesize knowledge models. It runs entirely within a Claude session over an rlat knowledge corpus to surface evidence and generate final answers interactively.