fix: support sparse vector index

Author: xxsc0529

pyobvector/client/index_param.py

@@ -134,8 +134,11 @@ def _parse_kwargs(self):
                 if 'efSearch' in params:
                     ob_params['ef_search'] = params['efSearch']
 
-        if self.is_index_type_sparse_vector() and ob_params['distance'] != 'inner_product':
-            raise ValueError("Metric type should be 'inner_product' for sparse vector index.")
+        if self.is_index_type_sparse_vector():
+            if ob_params['distance'] != 'inner_product':
+                raise ValueError("Metric type should be 'inner_product' for sparse vector index.")
+            if 'sparse_index_type' in self.kwargs:
+                ob_params['type'] = self.kwargs['sparse_index_type']
         return ob_params
 
     def param_str(self):

pyobvector/client/ob_vec_client.py

@@ -47,6 +47,26 @@ def __init__(
                 message=ExceptionsMessage.ClusterVersionIsLow % ("Vector Store", "4.3.3.0"),
             )
 
+    def _is_seekdb(self) -> bool:
+        """Check if the database is SeekDB by querying version.
+        
+        Returns:
+            bool: True if database is SeekDB, False otherwise
+        """
+        is_seekdb = False
+        try:
+            if hasattr(self, '_is_seekdb_cached'):
+                return self._is_seekdb_cached
+            with self.engine.connect() as conn:
+                result = conn.execute(text("SELECT VERSION()"))
+                version_str = [r[0] for r in result][0]
+                is_seekdb = "SeekDB" in version_str
+                self._is_seekdb_cached = is_seekdb
+                logger.debug(f"Version query result: {version_str}, is_seekdb: {is_seekdb}")
+        except Exception as e:
+            logger.warning(f"Failed to query version: {e}")
+        return is_seekdb
+
     def _get_sparse_vector_index_params(
         self, vidxs: Optional[IndexParams]
     ):
@@ -99,7 +119,11 @@ def create_table_with_index_params(
                     create_table_sql = str(CreateTable(table).compile(self.engine))
                     new_sql = create_table_sql[:create_table_sql.rfind(')')]
                     for sparse_vidx in sparse_vidxs:
-                        new_sql += f",\n\tVECTOR INDEX {sparse_vidx.index_name}({sparse_vidx.field_name}) with (distance=inner_product)"
+                        sparse_params = sparse_vidx._parse_kwargs()
+                        if 'type' in sparse_params:
+                            new_sql += f",\n\tVECTOR INDEX {sparse_vidx.index_name}({sparse_vidx.field_name}) with (type={sparse_params['type']}, distance=inner_product)"
+                        else:
+                            new_sql += f",\n\tVECTOR INDEX {sparse_vidx.index_name}({sparse_vidx.field_name}) with (distance=inner_product)"
                     new_sql += "\n)"
                     conn.execute(text(new_sql))
                 else: