Cito
Semantic search over ~148M academic papers. Find work by meaning, not just keywords.
Overview
Search academic papers by meaning, not just keywords. Hybrid, semantic, and keyword retrieval over Semantic Scholar with SPECTER2 embeddings.
Cito appears to offer a semantic search tool designed to help users find academic papers based on meaning rather than just keywords, utilizing hybrid retrieval methods over a large database of academic literature.
Who Is It For
Researchers and academics looking for a more nuanced search capability in academic literature.
Individuals or organizations seeking a free plan or trial, or those needing extensive integrations with other tools.
Strengths & Weaknesses
The ability to perform semantic searches over approximately 148 million academic papers, potentially improving the relevance of search results.
Limited visibility into pricing and lack of free plans or trials may deter potential users (AI-inferred; may be outdated – founders can correct this)
Classification
Alternatives to Cito
Community
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