scid.aiAsk in ordinary language
Describe what you need to understand, compare, or verify in English or Russian.
Search by the research question—not by guessing the right keywords
AI search for scientific papers follows the meaning of your task, finds work across different vocabularies, and shows how each source helps you understand the field.
Feature
Search becomes the beginning of research, not a detached result list
scid.ai connects discovered papers to the topic graph, source-grounded questions, reviews, and your research memory without rebuilding context.
See the role of each paper
Recognise foundational work, methods, recent findings, and neighbouring directions before reading everything.
Carry one context forward
Use the same sources in the graph, chat, review, Favorites, and bibliography.
When conventional search stops being enough
A field may use several vocabularies, so an exact query can miss relevant work from adjacent disciplines and research schools.
What the researcher receives
A working corpus with an intelligible role for each source and clear next actions, not merely a ranked list of matches.
Choose a close scenario
After registration, you can write your own research question and continue the workflow in scid.ai.
From a question to a working source corpus
Search preserves the intent of your task and carries the papers into the next stage without a fresh start.
State the task
Name the object, context, and what you need to learn: directions, methods, contradictions, or recent findings.
Inspect the corpus
Open records and compare dates, venues, access, and scientific context before relying on a source.
Continue with the same papers
Move to the graph, ask the corpus, save important work, or build a review.
Questions about semantic search
Do I need the exact scientific terminology?
No. Begin with the research question and refine the wording as the discovered literature clarifies the field.
Can I check why a paper matters?
Yes. Its record and the research graph provide context, and you can inspect the source before using it in a conclusion.
Begin with the question you actually need to resolve
Build a paper corpus and keep using it across the graph, source chat, review, and research memory in scid.ai.