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[Cherry-pick][7.x] Merge pull request #182 from neo4j/update-vector-docs #217

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Nov 7, 2024
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[Cherry-pick][7.x] Merge pull request #182 from neo4j/update-vector-docs #217

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4 changes: 2 additions & 2 deletions modules/ROOT/pages/directives/index.adoc
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Expand Up @@ -112,7 +112,7 @@ Particularly useful for types that are not correctly pluralized or are non-Engli
| Indicates that there should be a uniqueness constraint in the database for the fields that it is applied to.

| xref::/directives/indexes-and-constraints.adoc#_vector_index_search[`@vector`]
| Perform a vector index search on your database either based by passing in a vector index or a search phrase. label:beta[]
| Perform a vector index search on your database either based by passing in a vector index or a search phrase.

|===

Expand Down Expand Up @@ -149,4 +149,4 @@ of any required fields that is passed as arguments to the custom resolver.
| xref:/integrations/relay-compatibility.adoc[`@relayId`]
| Specifies that the field should be used as the global node identifier for Relay.

|===
|===
33 changes: 14 additions & 19 deletions modules/ROOT/pages/directives/indexes-and-constraints.adoc
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Expand Up @@ -248,7 +248,6 @@ await neoSchema.assertIndexesAndConstraints();

:description: Directives related to generative AI in the Neo4j GraphQL Library.

[role=label--beta]
== Vector index search

With the `@vector` GraphQL directive you can query your database to perform a vector index search.
Expand Down Expand Up @@ -331,15 +330,13 @@ This defines the query to be performed on all `Product` nodes which have a vecto
----
query FindSimilarProducts($vector: [Float]!) {
searchByDescription(vector: $vector) {
productsConnection {
edges {
cursor
score
node {
id
name
description
}
edges {
cursor
score
node {
id
name
description
}
}
}
Expand Down Expand Up @@ -415,15 +412,13 @@ This defines the query to be performed on all `Product` nodes which have a vecto
----
query SearchProductsByPhrase($phrase: String!) {
searchByPhrase(phrase: $phrase) {
productsConnection {
edges {
cursor
score
node {
id
name
description
}
edges {
cursor
score
node {
id
name
description
}
}
}
Expand Down