LitSynth
Facilitates intelligent academic paper discovery and semantic search on ArXiv using state-of-the-art sentence transformers.
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LitSynth provides an MCP server for advanced academic paper discovery and semantic search, leveraging the extensive ArXiv database. It allows users to query ArXiv with automatic URL encoding, perform AI-powered semantic similarity analysis on search results, and identify the most relevant papers to their research. With robust error handling and support for complex queries, LitSynth streamlines the process of finding and filtering academic literature using state-of-the-art sentence transformers.
Características Principales
- ArXiv Search
- Semantic Search
- Robust Error Handling
- Flexible Input
- 0 GitHub stars
Casos de Uso
- Discover academic papers on specific topics from ArXiv.
- Perform semantic search to identify the most relevant papers from a broad search.
- Handle complex search queries with automatic URL encoding for accurate results.
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