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solr_vector_select.py1.62 kB
"""Tool for executing vector search queries against Solr collections.""" from typing import Dict, List, Optional from solr_mcp.tools.tool_decorator import tool @tool() async def execute_vector_select_query( mcp, query: str, vector: List[float], field: Optional[str] = None ) -> Dict: """Execute vector search queries against Solr collections. Extends solr_select tool with vector search capabilities. Additional Parameters: - vector: Used to match against the collection's vector field, intended for vector search. - field: Name of the vector field to search against (optional, will auto-detect if not specified) The query results will be ranked based on distance to the provided vector. Therefore, ORDER BY is not allowed. Collection/Field Rules: - Vector field must be a dense_vector or knn_vector field type - The specified field must exist in the collection schema - The input vector dimensionality must match the field's vector dimensionality Supported Features: - All standard SELECT query features except ORDER BY - Results are ordered by vector distance - Hybrid search combining keyword (SQL WHERE clauses) and vector distance (vector parameter) Args: mcp: SolrMCPServer instance query: SQL query to execute vector: Query vector for similarity search field: Name of the vector field to search against (optional, auto-detected if not specified) Returns: Query results """ solr_client = mcp.solr_client return await solr_client.execute_vector_select_query(query, vector, field)

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