Research workflow example
Example: Building a Research Second Brain with Perplexity and Obsidian
A practical workflow for using Perplexity search threads and Obsidian's local notes to build a private research archive.
The challenge: Capturing dynamic research
A researcher may use Perplexity to explore literature, compare sources, and draft structured summaries. The challenge is keeping useful threads in a durable local archive instead of leaving them inside browser tabs or platform history.
The workflow: From query to local knowledge base
With AI Chat Backup configured for a local Markdown export folder, the workflow can stay simple:
1. Curate and refine on Perplexity
Use Perplexity to map out a research topic. Once the thread is fully loaded and the visible answer content is ready, prepare it for export.
2. One-click local vault sync
With an Obsidian vault folder configured in AI Chat Backup's settings under **Markdown Export Folder**, open the extension popup and click **Export Chat**. When folder permission is available, the extension writes a `.md` file directly into the selected vault directory.
3. Metadata tagging and linking
When YAML front matter is enabled, exported notes can include fields such as title, date, and source. Obsidian plugins such as Dataview can then query those fields if your vault is configured for that workflow.
LIST FROM #research AND "AI Research/Perplexity"Why this workflow beats copy-pasting
- Less manual copying: Export the visible thread structure without rebuilding every heading, list, or code block by hand.
- Markdown-friendly structure: Tables and lists are converted when the page exposes them in a form the extension can parse.
- Local-first storage: Markdown files can stay in an Obsidian vault or another folder you control.
Conclusion
By bridging Perplexity's search workflow with Obsidian's local organization, AI Chat Backup can reduce copy-paste cleanup and make useful research threads easier to revisit.