semantic_search_papers_on_huggingface
Find relevant academic papers from HuggingFace using semantic search. Input a query to retrieve a list of papers with titles, summaries, IDs, and upvotes, tailored to your research needs.
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"
}