Update langchain4j.md

Author: Arjunnr-cb

tutorial/markdown/java/langchain4j.md

@@ -112,7 +112,7 @@ CouchbaseEmbeddingStore embeddingStore = new CouchbaseEmbeddingStore.Builder(cou
 The embedding store uses an search vector index in order to perform vector similarity lookups. If provided with a name for
 vector index that does not exist on the cluster, the store will attempt to create a new index with default
 configuration based on the provided initialization settings. It is recommended to manually review the settings for the
-created index and adjust them according to specific use cases. More information about vector search and search index 
+created index and adjust them according to specific use cases. More information about vector search and search vector index 
 configuration can be found at [Couchbase Documentation](https://docs.couchbase.com/server/current/vector-search/vector-search.html).
 
 ### Embedding Documents