wiki-research

You can automate web research for Obsidian by using an autonomous multi-round research process that performs iterative WebSearch and WebFetch extraction. It fills information gaps and files structured findings directly into your vault as organized wiki pages.

The best way to structure web research notes is to categorize findings into separate pages for sources, concepts, entities, and a master synthesis document. This information architecture ensures cross-linking and handles contradictions across multiple sources effectively.

Yes, you need an existing Obsidian vault configuration. The research process resolves your vault path and link format before writing, and it optionally applies per-vault research preferences to ensure notes are filed correctly into your knowledge management system.

Yes, autonomous web research can handle source contradictions and fill information gaps. The process performs a synthesis check across multiple sources to resolve conflicting information and iteratively searches the web to fill missing details before generating a consolidated output.

Automated knowledge synthesis works by extracting raw data from web sources using defuddle extraction, organizing it into distinct concepts and entities, and then generating a master synthesis document. It updates index and tracking files with cross-linking to maintain information architecture.

A limitation of autonomous web research is its reliance on iterative WebSearch and WebFetch availability, which may restrict access to paywalled or dynamically rendered sources. Additionally, resolving complex vault configurations requires accurate path and link format inputs to avoid filing errors.