scid.aiAsk in your own words
Start with the research intent instead of crafting a perfect query.
Find papers by the question—even before you know the exact terms
Describe what you need to understand. scid.ai finds papers by meaning and keeps the result set as the start of a research project—with paper records, a graph and next questions.
Value
Search should produce a working source base, not another list of links
Vocabulary changes across disciplines and research schools. Semantic search catches related work and lets you continue with the same controlled set of sources.
Cross vocabularies
Catch related approaches even when authors name the same object differently.
Keep one context
Move the same result set into a graph, chat, Favorites or a review.
Choose a starting point
Start with what you need to understand
The prepared wording appears in the research field; you decide when to run it.
From a query to a decision about what to read next
Every step continues with the same selected source set.
Set the boundaries
Clarify the object, period, methods and paper types that belong to the question.
See each paper's role
Separate foundations, methods, recent findings and adjacent directions.
See the structure
Open the graph and choose the cluster that needs a closer look.
Continue without loss
Save papers, ask the sources or build a review from the selected corpus.
Questions
How is this different from keyword search?
You can describe the task naturally and find related work that uses different terminology.
Can I search in Russian?
Yes. Ask in English or Russian, then inspect the papers that support the result.
Build the source base for a project—not another search tab
The question, papers and next actions remain in one research workspace.