Merge pull request #106863 from vkurpad/projections

connected docs

Author: PRMerger18

articles/search/knowledge-store-concept-intro.md

@@ -144,3 +144,13 @@ The simplest approach for creating enriched documents is [through the portal](kn
 
 > [!div class="nextstepaction"]
 > [Create a knowledge store using Postman and REST](knowledge-store-create-rest.md)
+
+To learn more about projections, the capabilities and how you [define them in a skillset](knowledge-store-projection-overview.md)
+
+> [!div class="nextstepaction"]
+> [Projections in a knowledge store](knowledge-store-projection-overview.md)
+
+For a tutorial covering advanced projections concepts like slicing, inline shaping and relationships, start with [define projections in a knowledge store](knowledge-store-projections-examples.md)
+
+> [!div class="nextstepaction"]
+> [Define projections in a knowledge store](knowledge-store-projections-examples.md)

articles/search/knowledge-store-projection-overview.md

@@ -208,3 +208,8 @@ As a next step, create your first knowledge store using sample data and instruct
 
 > [!div class="nextstepaction"]
 > [Create a knowledge store in REST](knowledge-store-create-rest.md).
+
+For a tutorial covering advanced projections concepts like slicing, inline shaping and relationships, start with [define projections in a knowledge store](knowledge-store-projections-examples.md)
+
+> [!div class="nextstepaction"]
+> [Define projections in a knowledge store](knowledge-store-projections-examples.md)

articles/search/knowledge-store-projections-examples.md

@@ -668,7 +668,13 @@ When defining a projection, there are a few common issues that can cause unantic
 
 The examples in this article demonstrate common patterns on how to create projections. Now that you have a good understanding of the concepts, you are better equipped to build projections for your specific scenario.
 
-As you iterate over knowledge store definitions, consider incremental enrichment as your next step. Incremental enrichment is based on caching, which lets you reuse any enrichments that are not otherwise affected by a skillset modification. This is especially useful for pipelines that include OCR and image analysis.
+As you explore new features, consider incremental enrichment as your next step. Incremental enrichment is based on caching, which lets you reuse any enrichments that are not otherwise affected by a skillset modification. This is especially useful for pipelines that include OCR and image analysis.
 
 > [!div class="nextstepaction"]
-> [Introduction to incremental enrichment and caching](cognitive-search-incremental-indexing-conceptual.md)
+> [Introduction to incremental enrichment and caching](cognitive-search-incremental-indexing-conceptual.md)
+
+For an overview on projections, learn more about capabilities like groups and slicing, and how you [define them in a skillset](knowledge-store-projection-overview.md)
+
+> [!div class="nextstepaction"]
+> [Projections in a knowledge store](knowledge-store-projection-overview.md)
+