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semantic_search_papers_on_huggingface

Search for academic papers on HuggingFace using semantic search to identify relevant research by query terms or natural language input. Retrieve paper details including title, summary, ID, and upvotes.

Instructions

Search for papers on HuggingFace using semantic search.

Args:
    query (str): The query term to search for. It will automatically determine if it should use keywords or a natural language query, so format your queries accordingly.
    top_n (int): The number of papers to return. Default is 10, but you can set it to any number.

Returns:
    str: A list of papers with the title, summary, ID, and upvotes.

Input Schema

Name	Required	Description	Default
`query`	Yes
`top_n`	No

Input Schema (JSON Schema)

{
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "top_n": {
      "default": 10,
      "title": "Top N",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "semantic_search_papers_on_huggingfaceArguments",
  "type": "object"
}

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