Updated FreeBSD package name in readme [skip ci]

README.md

@@ -1233,7 +1233,7 @@ Note: Replace `18` with your Postgres server version
 Install the FreeBSD package with:
 
 ```sh
-pkg install postgresql17-pgvector
+pkg install postgresql18-pgvector
 ```
 
 or the port with:

src/ivfkmeans.c

@@ -8,7 +8,6 @@
 #include "fmgr.h"
 #include "ivfflat.h"
 #include "miscadmin.h"
-#include "utils/datum.h"
 #include "utils/memutils.h"
 #include "utils/relcache.h"
 
@@ -106,44 +105,16 @@ NormCenters(const IvfflatTypeInfo * typeInfo, Oid collation, VectorArray centers
 }
 
 /*
- * Check if vector array contains a vector
- */
-static bool
-VectorArrayContains(VectorArray arr, Pointer val)
-{
-	Datum		d = PointerGetDatum(val);
-
-	for (int i = 0; i < arr->length; i++)
-	{
-		if (datumIsEqual(d, PointerGetDatum(VectorArrayGet(arr, i)), false, -1))
-			return true;
-	}
-	return false;
-}
-
-/*
- * Quick approach if we have little data
+ * Quick approach if we have no data
  */
 static void
-QuickCenters(Relation index, VectorArray samples, VectorArray centers, const IvfflatTypeInfo * typeInfo)
+RandomCenters(Relation index, VectorArray centers, const IvfflatTypeInfo * typeInfo)
 {
 	int			dimensions = centers->dim;
 	FmgrInfo   *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC);
 	Oid			collation = index->rd_indcollation[0];
 	float	   *x = (float *) palloc(sizeof(float) * dimensions);
 
-	/* Fill with unique samples (already normalized) */
-	for (int i = 0; i < samples->length; i++)
-	{
-		Pointer		sample = VectorArrayGet(samples, i);
-
-		if (!VectorArrayContains(centers, sample))
-		{
-			VectorArraySet(centers, centers->length, sample);
-			centers->length++;
-		}
-	}
-
 	/* Fill with random data */
 	while (centers->length < centers->maxlen)
 	{
@@ -577,8 +548,8 @@ IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers, const Iv
 													ALLOCSET_DEFAULT_SIZES);
 	MemoryContext oldCtx = MemoryContextSwitchTo(kmeansCtx);
 
-	if (samples->length <= centers->maxlen)
-		QuickCenters(index, samples, centers, typeInfo);
+	if (samples->length == 0)
+		RandomCenters(index, centers, typeInfo);
 	else
 		ElkanKmeans(index, samples, centers, typeInfo, memoryUsed);