Problem
Keyword guesses, filename hunting, and tab hopping slow you down when recall is fuzzy.
Question-first semantic search for Obsidian
Smart Lookup for Obsidian: search notes by meaning, not exact words
You know the note exists, but you do not remember the phrase. Ask your vault a plain-language question and surface relevant notes by meaning so wording drift does not break your flow.
Turning point
Treat search like a question, not a keyword puzzle. Smart Lookup ranks notes by semantic similarity to your query.
Outcome
Find the right note fast enough to keep writing, reuse prior thinking, and act on the result immediately.
Plain-language queries Meaning-ranked results Same semantic layer as Smart Connections
Want the annotated walkthrough? Open the Smart Lookup search guide .
Get your first useful answer in under a minute
Start with one real question you would ask yourself if the right note were already open.
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Step 1
Open Smart Lookup
Open the Lookup view from the command palette, the ribbon, or a hotkey you assign.
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Step 2
Ask one plain-language question
Describe the idea, topic, or decision you want to recover. Add 1-2 context nouns when your vault is broad.
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Step 3
Confirm and act
Expand 1-2 results, open the strongest match, then link it, build a reading trail, or export it into Smart Context.
What counts as first value?
Recovered note: you find something that exact keyword search would have made harder to recover.
Faster confirmation: the right heading, block, or note appears quickly enough that you stay in flow.
Next action: the result becomes a link, a reading trail, or grounded AI context instead of another dead end.
Once it earns a permanent place in your workflow, pin a hotkey so question-first search stays one move away.
When Smart Lookup beats keyword search
Use Lookup when the problem is recall, wording drift, or concept discovery rather than exact phrase matching.
Fuzzy recall
You remember the idea, not the phrase, file name, or heading you used when you wrote it.
Vocabulary drift
Your current wording changed, but the underlying idea is still in the vault.
Decision recall
You want to recover tradeoffs, prior decisions, or the best note on a topic before you re-solve it.
Discovery before drafting
You want a fast reading trail from your prior thinking before you write, delegate, or brief an AI tool.
Choose the right surface fast
Exact match
Obsidian Search
Best when you need exact phrases, tags, operators, file names, or regex.
Question-first
Smart Lookup
Best when you want notes about an idea even if the note does not contain your search terms.
Note-first
Smart Connections
Best when you are already inside a note and want related material to update around your current context.
How Smart Lookup works
Lookup is question-first. Your query becomes the reference point, and results are ranked by semantic similarity instead of exact word overlap.
Ask naturally
Start with the idea, topic, or question you want to recover. Write it the way you would ask yourself.
Read ranking as a signal
Similarity scores help rank the results inside one lookup. Expand a few candidates to confirm relevance before you act.
Choose the right granularity
Use sources when you want broader note discovery. Use blocks when you want more precise sections without hunting inside long notes.
Simple query formula
Topic + context nouns + desired output
Stronger query: "My notes about reducing information overload while researching - list the best steps."
Fast refinement: add 1-2 constraints such as project name, domain, people, tools, or output type.
Need the deeper walkthrough? Open the search guide . Need to tune sources, blocks, limits, or filters? Use Connections settings .
From question to grounded action
Lookup is strongest when it hands off to the next workflow instead of ending at the results list.
Find
Smart Lookup
Recover the most relevant notes when you start from a question instead of an anchor note.
Package
Smart Context
Turn strong Lookup matches into reusable context so your next prompt starts grounded.
Converse
Smart Chat
Ask follow-up questions with the right notes already attached, then keep the thread tied to the work.
Already inside a note and want related material to update around it automatically? Use the Connections view for note-first discovery.
What makes Smart Lookup trustworthy
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✓
Lookup is additive, not a replacement for exact search. Use Obsidian Search for exact phrases and operators, and use Lookup for meaning-level discovery.
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✓
Results stay inspectable. Expand items, confirm relevance, and then open, link, or export what deserves action.
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✓
Lookup uses the same semantic layer as Smart Connections, so the mental model stays consistent across question-first and note-first workflows.
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✓
When your vault grows, you can tune result type, limits, and filters in Connections settings instead of guessing why the list changed.
FAQ
Quick answers for people deciding whether Lookup is the right search surface.
What is Smart Lookup for Obsidian?
Smart Lookup is question-first semantic search for Obsidian. It lets you ask plain-language questions and surfaces notes by meaning, not just exact text overlap.
When should I use Smart Lookup instead of Obsidian Search?
Use Lookup when you remember the idea but not the exact phrase. Use Obsidian Search when you need exact phrases, tags, operators, file names, or regex.
How is Smart Lookup different from Smart Connections?
Smart Lookup is question-first: you start with a query. Smart Connections is note-first: you start from the note you are already viewing and let related results update around it.
Why did my exact phrase not appear near the top?
That can be normal in semantic search. Lookup ranks by meaning, not literal word overlap, so a note with different wording may outrank a note that repeats your exact phrase without matching your intent.
Should I return sources or blocks?
Start with sources when you want broader discovery. Switch to blocks when you keep opening long notes and hunting for the right section.
What should I do after I find the right notes?
Open the best match, link it into the working note, build a short reading trail, or export the strongest matches into Smart Context for grounded AI work.
When you remember the idea but not the words, Smart Lookup turns recall friction into forward motion.