@@ -60,15 +60,15 @@ RETURN vector([1, 2, 3], 3, INTEGER) AS vector
6060.Query
6161[source, cypher]
6262----
63- RETURN vector("[1.05000e+00, 0.123, 5]", 3, FLOAT32 ) AS vector
63+ RETURN vector("[1.05000e+00, 0.123, 5]", 3, FLOAT ) AS vector
6464----
6565
6666.Result
6767[role="queryresult",options="header,footer",cols="1*<m"]
6868|===
6969| vector
7070
71- | vector([1.05, 0.123, 5.0], 3, FLOAT32 NOT NULL)
71+ | vector([1.05, 0.123, 5.0], 3, FLOAT NOT NULL)
7272
73731+d|Rows: 1
7474|===
@@ -246,7 +246,7 @@ You can also use the xref:functions/scalar.adoc#functions-size[`size()`] functio
246246.Query
247247[source, cypher]
248248----
249- RETURN vector_dimension_count(vector([1, 2, 3], 3, INTEGER )) AS size
249+ RETURN vector_dimension_count(vector([1, 2, 3], 3, INTEGER8 )) AS size
250250----
251251
252252.Result
@@ -317,15 +317,15 @@ This is in contrast to the similarity functions where the closer to `1` the resu
317317.Query
318318[source, cypher]
319319----
320- RETURN vector_distance(vector([1, 2, 3], 3, INT ), vector([1, 2, 4], 3, INT ), COSINE) AS distance
320+ RETURN vector_distance(vector([1, 2, 3], 3, INTEGER8 ), vector([1, 2, 4], 3, INTEGER8 ), COSINE) AS distance
321321----
322322
323323.Result
324324[role="queryresult",options="header,footer",cols="1*<m"]
325325|===
326326
327327| distance
328- | 0.008539795875549316
328+ | 0.008539855480194092
329329
3303301+d|Rows: 1
331331
@@ -339,15 +339,15 @@ RETURN vector_distance(vector([1, 2, 3], 3, INT), vector([1, 2, 4], 3, INT), COS
339339.Query
340340[source, cypher]
341341----
342- RETURN vector_distance(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT ), vector([5.0, 2.5, 3.1, 9.0], 4, FLOAT ), EUCLIDEAN)
342+ RETURN vector_distance(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT32 ), vector([5.0, 2.5, 3.1, 9.0], 4, FLOAT32 ), EUCLIDEAN)
343343----
344344
345345.Result
346346[role="queryresult",options="header,footer",cols="1*<m"]
347347|===
348348
349349| distance
350- | 5.248809388804284
350+ | 5.248809337615967
351351
3523521+d|Rows: 1
353353
@@ -396,15 +396,15 @@ RETURN vector_distance(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT), vector([5.0, 2.5,
396396.Query
397397[source, cypher]
398398----
399- RETURN vector_norm(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT ), EUCLIDEAN) AS norm
399+ RETURN vector_norm(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT32 ), EUCLIDEAN) AS norm
400400----
401401
402402.Result
403403[role="queryresult",options="header,footer",cols="1*<m"]
404404|===
405405
406406| norm
407- | 8.93812060782355
407+ | 8.93812084197998
408408
4094091+d|Rows: 1
410410
@@ -418,15 +418,15 @@ RETURN vector_norm(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT), EUCLIDEAN) AS norm
418418.Query
419419[source, cypher]
420420----
421- RETURN vector_norm(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT ), MANHATTAN) AS norm
421+ RETURN vector_norm(vector([1.0, 5.0, 3.0, 6.7], 4, FLOAT32 ), MANHATTAN) AS norm
422422----
423423
424424.Result
425425[role="queryresult",options="header,footer",cols="1*<m"]
426426|===
427427
428428| norm
429- | 15.7
429+ | 15.699999809265137
430430
4314311+d|Rows: 1
432432
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