semantic_search

Active

Tool of io.github.lazymac2x/embedding-search

declared in 1.1.0

Rank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores.

Parameters schema

{
  "type": "object",
  "required": [
    "query",
    "documents"
  ],
  "properties": {
    "model": {
      "type": "string",
      "description": "CF AI model ID override"
    },
    "query": {
      "type": "string",
      "description": "Search query"
    },
    "top_k": {
      "type": "integer",
      "description": "Number of results (default 5)"
    },
    "documents": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Candidate documents to rank"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

io.github.lazymac2x/embedding-search

https://github.com/lazymac2x/embedding-search-api

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