Research & Learning - Literature, knowledge, personal knowledge base
From literature search to knowledge internalization — AI compresses information costs and accelerates retention.
Workflow steps
- 1. Literature Search & Academic Research: Find relevant research across millions of papers quickly and understand the knowledge frontier of any field.
- 2. PDF Reading: Upload reports, papers, or contracts and ask questions directly — no more reading document after document from start to finish.
- 3. Note Organization & Knowledge Management: Structure scattered learning into a searchable, reviewable personal knowledge base.
- 4. Personalized Learning: AI adapts to your level and goals, provides a custom learning path, and answers every question as you get stuck.
Recommended tools
- Claude: Optimize the narrative structure and key expressions.
- Perplexity AI: Real-time search with cited sources — maps unfamiliar fields 5x faster than traditional search engines.
- Consensus: Ask a research question and get a synthesis of what multiple papers say — see the scholarly consensus at a glance.
- NotebookLM: By Google — strong cross-document Q&A with the ability to generate podcast-format audio summaries for more engaging review.
- Kimi PPT助手: By Moonshot AI — handles extremely long documents with strong contextual understanding, excellent for Chinese-language documents.
- Humata: Supports bulk PDF uploads with cross-file Q&A — ideal for researchers who need to synthesize large document collections simultaneously.
- Fireflies.ai: Sort out the meeting content and draft the speech outline.
- Notion AI: Database meets AI writing assistant — organize notes, generate summaries, and connect knowledge points in one workspace.