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Researcher: Workflows

The Researcher is your conversational partner in the vault. Learn how to direct its attention and ask better questions.

Focusing Attention with Mentions

By default, the Researcher indexes your vault in the background. However, for specific tasks, you should explicitly tell it what to look at using the @ symbol.

Mentioning a single note

  1. Type @ and start typing the name of a note.

    The @ autocomplete dropdown showing note suggestions

  • Use case: "Summarise @Meeting Notes"
  • Benefit: Forces the agent to read that specific file in full.

Mentioning a folder

Type @ and select a folder path.

  • Use case: "List all open tasks in @Projects/Alpha"
  • Benefit: Adds all notes in that folder to the context (up to the token limit).

Multilingual Interactions

The Researcher speaks your language. Examples of how to use this effectively:

  • Set your language: Go to settings and choose your preferred language (eg "French"). The agent will now reply in French by default, even if you ask in English.

  • Cross-lingual search: You can ask questions in your native language about notes written in English. The agent will translate and synthesize the answer for you.

    With the language set to German, the agent replies in German to a query about an English note and with an English prompt

Chat Controls

The Research Chat header includes powerful tools for managing your session on the fly:

  • Model Switching: Use the dropdown in the header to temporarily switch models (eg from Flash to Pro) for a single difficult query without changing your global defaults.

  • Capability Toggles: Click the Write toggle to enable/disable agentic write access for the current session. When enabled, the agent can create or modify notes (it will always ask for your confirmation before applying changes).

    Close-up of the Research Chat header showing the model dropdown and the Write toggle

Effective Querying

The Researcher uses a hybrid search (Keywords + Meaning + Connections).

GoalLess EffectiveMore Effective
Recall"Project Alpha""What were the key decisions made in Project Alpha last month?"
Synthesis"Compare notes""Compare the conclusions in @Paper A and @Paper B."
Discovery"Similar ideas""What other concepts in my vault relate to 'Entropy'?"

Managing Context

The "Context Window" is the amount of text the AI can read at once.

  • Flash Model: Large window (~1M tokens). Good for dumping entire folders.
  • Pro Model: Smaller window. Best for precise reasoning on specific files.

TIP

If the agent seems confused, try clearing the chat history to reset the context.