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Core Feature

Semantic Search

Go beyond keyword matching. Our AI understands research concepts and finds papers that discuss similar ideas, even when they use different terminology.

How Semantic Search Works

Concept Understanding

Our AI analyzes the meaning and context of your research query, understanding the underlying concepts rather than just matching words.

Vector Matching

Papers are converted into high-dimensional vectors that capture semantic meaning, enabling precise similarity matching.

Cross-Disciplinary Discovery

Find relevant research across different fields and terminology, uncovering connections you might have missed.

Why Semantic Search Matters

Traditional Search Limitations

  • Only finds exact keyword matches
  • Misses papers using different terminology
  • Requires knowing the "right" keywords
  • Limited to single discipline results

Semantic Search Advantages

  • Finds papers discussing similar concepts
  • Discovers research across different terminology
  • Works with natural language queries
  • Reveals cross-disciplinary connections

Perfect For

Literature Reviews

Find all relevant papers for your review, even those using different terminology or from adjacent fields.

Research Discovery

Discover new research directions and connections you might have missed with traditional search methods.

Cross-Disciplinary Research

Bridge gaps between disciplines and find relevant work from fields outside your primary area of expertise.

Gap Analysis

Identify research gaps and opportunities by understanding what has and hasn't been studied in your area.

Collaboration Finding

Find potential collaborators working on similar problems in different fields or using different approaches.

Innovation Research

Explore emerging trends and innovative approaches by discovering cutting-edge research across disciplines.

Ready to Experience Semantic Search?

Start discovering research connections you never knew existed.