Multi-Document Context Architecture — Reason Across Many Sources

I will build a multi-document context architecture for your LLM application — enabling reasoning across large document collections using a combination of retrieval, hierarchical summarisation, and intelligent context assembly that maintains the cross-document reasoning capability your use case requires. Multi-document reasoning use cases — legal due diligence across hundreds of contracts, competitive analysis across thousands of documents, or research synthesis across a large literature — require architecture that goes beyond what any single context window can hold, using hierarchical processing that maintains the connections between documents that the individual document level cannot surface.

The architecture covers document-level summarisation, cross-document entity and concept linking, hierarchical synthesis levels, cross-document reasoning prompt design, a query-adaptive context assembly strategy, and evaluation of cross-document reasoning quality.