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Vector search on repository level #3037
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src/main/antora/modules/ROOT/pages/repositories/vector-search.adoc
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[[sdn-vector-search]] | ||
= Neo4j Vector Search | ||
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== The `@VectorSearch` annotation | ||
Spring Data Neo4j supports Neo4j's vector search on the repository level by using the `@VectorSearch` annotation. | ||
For this to work, Neo4j needs to have a vector index in place. | ||
How to create a vector index is explained in the https://neo4j.com/docs/cypher-manual/current/indexes/search-performance-indexes/managing-indexes/[Neo4j documentation]. | ||
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NOTE: It's not required to have any (Spring Data) Vector typed property be defined in the domain entities for this to work | ||
because the search operates exclusively on the index. | ||
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The `@VectorSearch` annotation requires two arguments: | ||
The name of the vector index to be used and the number of nearest neighbours. | ||
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For a general vector search over the whole domain, it's possible to use a derived finder method without any property. | ||
[source,java,indent=0,tabsize=4] | ||
---- | ||
include::example$integration/imperative/VectorSearchIT.java[tags=sdn-vector-search.usage;sdn-vector-search.usage.findall] | ||
---- | ||
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The vector index can be combined with any property-based finder method to filter down the results. | ||
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NOTE: For technical reasons, the vector search will always be executed before the property search gets invoked. | ||
E.g. if the property filter looks for a person named "Helge", | ||
but the vector search only yields "Hannes", there won't be a result. | ||
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[source,java,indent=0,tabsize=4] | ||
---- | ||
include::example$integration/imperative/VectorSearchIT.java[tags=sdn-vector-search.usage;sdn-vector-search.usage.findbyproperty] | ||
---- |
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Could
QueryMethod.isSearchQuery()
be useful here?Would it also make sense to check for the presence of the
@VectorSearch
annotation?