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Update tutorial/markdown/java/langchain4j.md
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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tutorial/markdown/java/langchain4j.md

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@@ -109,7 +109,7 @@ CouchbaseEmbeddingStore embeddingStore = new CouchbaseEmbeddingStore.Builder(cou
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### Vector Index
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The embedding store uses an search vector index in order to perform vector similarity lookups. If provided with a name for
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The embedding store uses a search vector index in order to perform vector similarity lookups. If provided with a name for
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vector index that does not exist on the cluster, the store will attempt to create a new index with default
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configuration based on the provided initialization settings. It is recommended to manually review the settings for the
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created index and adjust them according to specific use cases. More information about vector search and search vector index

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