Introduction
SciSpace uses a combination of semantic and text-based search methods to provide highly relevant research papers. Our ranking prioritizes relevance over citation counts, ensuring unbiased results.
How Our Search Works
Semantic Search: AI-driven contextual understanding.
Text-Based Search: Focus on titles and abstracts for precise matching.
Relevance over Citation-Based Ranking: Ensures impartiality in results for initial results.
Data Sources
We pull research from:
OpenAlex
Semantic Scholar
Google Scholar
and other trusted repositories
We have curated a corpus of over 200 million papers from various sources. Our database is continuously updated to include the latest research.
AI Models Used
GPT-3.5 for standard searches.
GPT-4o for premium users, offering deeper insights.
Conclusion
SciSpace delivers accurate and up-to-date research using AI-powered search techniques. Our regularly updated corpus and unbiased ranking system ensure high-quality literature reviews.
You can refer to the video below for a complete walkthrough.
For more guides, visit the SciSpace Help Center.