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articles/search/cognitive-search-concept-intro.md

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## Next steps
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+ [Quickstart: Create a skillset for AI enrichment](cognitive-search-quickstart-blob.md)
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+ [Quickstart: Create a skillset for AI enrichment](search-get-started-skillset.md)
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+ [Tutorial: Learn about the AI enrichment REST APIs](cognitive-search-tutorial-blob.md)
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+ [Skillset concepts](cognitive-search-working-with-skillsets.md)
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+ [Knowledge store concepts](knowledge-store-concept-intro.md)

articles/search/cognitive-search-concept-troubleshooting.md

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## Tip 1: Start simple and start small
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Both the [**Import data wizard**](cognitive-search-quickstart-blob.md) and [**Import and vectorize data wizard**](search-get-started-portal-import-vectors.md) in the Azure portal support AI enrichment. Without writing any code, you can create and examine all of the objects used in an enrichment pipeline: an index, indexer, data source, and skillset.
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Both the [**Import data wizard**](search-get-started-skillset.md) and [**Import and vectorize data wizard**](search-get-started-portal-import-vectors.md) in the Azure portal support AI enrichment. Without writing any code, you can create and examine all of the objects used in an enrichment pipeline: an index, indexer, data source, and skillset.
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Another way to start simply is by creating a data source with just a handful of documents or rows in a table that are representative of the documents that will be indexed. A small data set is the best way to increase the speed of finding and fixing issues.Run your sample through the end-to-end pipeline and check that the results meet your needs. Once you're satisfied with the results, you're ready to add more files to your data source.
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## See also
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+ [Quickstart: Create an AI enrichment pipeline in the portal](cognitive-search-quickstart-blob.md)
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+ [Quickstart: Create an AI enrichment pipeline in the portal](search-get-started-skillset.md)
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+ [Tutorial: Learn AI enrichment REST APIs](cognitive-search-tutorial-blob.md)
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+ [How to configure blob indexers](search-howto-indexing-azure-blob-storage.md)
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+ [How to define a skillset](cognitive-search-defining-skillset.md)

articles/search/index.yml

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- text: Index from Azure Blob Storage
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url: search-blob-storage-integration.md
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- text: Index from Azure SQL Database
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url: search-howto-connecting-azure-sql-database-to-azure-search-using-indexers.md
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url: search-how-to-index-sql-database.md
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- text: Index from Azure Cosmos DB
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url: search-howto-index-cosmosdb.md
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- text: Index any data

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