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Typo fix
Typo fix: end-t-end => end-to-end
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articles/search/vector-search-integrated-vectorization.md

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@@ -46,7 +46,7 @@ Here's a checklist of the components responsible for integrated vectorization:
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+ A skillset providing a Text Split skill for data chunking, and a skill for vectorization (either the AzureOpenAiEmbedding skill or a custom skill pointing to an external embedding model).
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+ Optionally, index projections (also defined in a skillset) to push chunked data to a secondary index
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+ An embedding model, deployed on Azure OpenAI or available through an HTTP endpoint.
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+ An indexer for driving the process end-t-end. An indexer also specifies a schedule, field mappings, and properties for change detection.
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+ An indexer for driving the process end-to-end. An indexer also specifies a schedule, field mappings, and properties for change detection.
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This checklist focuses on integrated vectorization, but your solution isn't limited to this list. You can add more skills for AI enrichment, create a knowledge store, add semantic ranking, add relevance tuning, and other query features.
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