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
Target users
- Founders
- Research teams
- Content strategists
Recommended tools
Recommended workflows
Research assistant workflowTurn open web research into source-backed notes, comparison tables, and a decision-ready recommendation.RAG knowledge base evaluation workflowEvaluate a RAG knowledge base by testing ingestion quality, source retrieval, answer faithfulness, and update ownership before scaling infrastructure.Meeting to decision memo workflowTurn meeting audio or transcripts into source-aware decisions, owners, open questions, and a reusable operating memo.
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