Use case

Best workflow for document knowledge

A team has PDFs, notes, and source material but needs structured knowledge that can be searched, cited, and reused.

Recommended stack answer

Start with Claude, Perplexity, OpenAI API, then run the Research assistant workflow. Use Gemini or n8n when budget, workflow control, or implementation style requires a different path.

Budget

Low

Difficulty

Beginner

Primary workflow

Research assistant workflow

Check this stack with the Qidao selection framework

Target users

  • Founders
  • Research teams
  • Content strategists

Recommended tools

Recommended workflows

Selection criteria

  • Source extraction and synthesis must be separate steps.
  • The workflow must preserve URLs, dates, and confidence notes.
  • Only reviewed conclusions should enter durable knowledge storage.

Operation steps

  • Collect source documents and define the knowledge questions.
  • Extract claims, citations, and unresolved points into structured notes.
  • Synthesize only after source-backed notes are visible.
  • Promote stable conclusions into the knowledge base with update dates.

Decision logic

  • Separate source extraction from synthesis so citations remain traceable.
  • Use long-context tools for document reading and search tools for external validation.
  • Promote only stable conclusions into the durable knowledge base.

Common mistakes

  • Letting an AI summary replace source-backed notes.
  • Mixing private documents and public web claims without labels.
  • Publishing old facts without checking whether they changed.

Related templates

  • Source-backed knowledge note
  • Research synthesis matrix

Alternatives

Guide

How to use this selection

Treat the knowledge workflow as a pipeline: collect sources, extract notes, normalize decisions, and only then produce summaries. The output should make it clear what is source-backed and what is inference.

Updated Jul 2, 2026