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Oct 7, 2025
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Add cosine similarity function docs #1423

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add cosine similarity function
DavIvek Oct 7, 2025
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matea16 Oct 7, 2025
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Merge branch 'memgraph-3-6' into add-cosine-similarity-docs
matea16 Oct 7, 2025
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10 changes: 10 additions & 0 deletions pages/querying/vector-search.mdx
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Expand Up @@ -160,6 +160,16 @@ for the metric is `l2sq` (squared Euclidean distance).
| `sorensen` | Sørensen-Dice coefficient |
| `jaccard` | Jaccard index |

### Cosine similarity

You can calculate cosine similarity directly in queries using the `vector_search.cosine_similarity()` function. This is useful when you need to compute similarity between vectors without creating a vector index.

{<h3 className="custom-header"> Usage: </h3>}

```cypher
RETURN vector_search.cosine_similarity([1.0, 2.0], [1.0, 3.0]) AS similarity;
```

### Scalar type

Properties are stored as 64-bit values in the property store. However, for efficiency, vector elements in the vector index are stored using 32-bit values by default.
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