fixed links

Author: flang-msft

articles/redis/overview-vector-similarity.md

@@ -16,12 +16,12 @@ Vector similarity search (VSS) has become a popular technology for AI-powered in
 
 For tutorials and sample applications on how to use Enterprise tier or Azure Managed Redis with Azure OpenAI, see the following:
 
-- [Tutorial: Conduct vector similarity Enterprise tier or Azure Managed Redis with ddings using LangChain](./cache-tutorial-vector-similarity.md)
+- [Tutorial: Conduct vector similarity with OpenAI embeddings using Azure Managed Redis using LangChain](tutorial-vector-similarity.md)
 - [Sample: Using Redis as semantic cache in a Dall-E powered image gallery with Redis OM for .NET](https://github.com/Azure-Samples/azure-redis-dalle-semantic-caching)
 
 ## Scope of Availability
 
-Vector search capabilities in Redis require [Redis Stack](https://redis.io/docs/latest/operate/oss_and_stack/stack-with-enterprise/), specifically the [RediSearch](https://redis.io/docs/interact/search-and-query/) module. This capability is only available in the [Enterprise tiers of Azure Cache for Redis](./cache-redis-modules.md) and Azure Managed Redis.
+Vector search capabilities in Redis require [Redis Stack](https://redis.io/docs/latest/operate/oss_and_stack/stack-with-enterprise/), specifically the [RediSearch](https://redis.io/docs/interact/search-and-query/) module. This capability is only available in the [Enterprise tiers of Azure Cache for Redis](redis-modules.md) and Azure Managed Redis.
 
 This table contains the information for vector search availability in different tiers.
 

articles/redis/tutorial-vector-similarity.md

@@ -47,13 +47,13 @@ In this tutorial, you learn how to:
 
 ## Create an Azure Cache for Redis Instance
 
-1. Follow the [Quickstart: Create a Redis Enterprise cache](quickstart-create-redis-enterprise.md) guide, but make sure you add the RedisSearch module at create time.
+1. Follow the [Quickstart: Create a Redis Enterprise cache](../azure-cach-for-redis/quickstart-create-redis-enterprise.md) guide, but make sure you add the RedisSearch module at create time.
 
 1. On the **Advanced** page, make sure that you've added the **RediSearch** module and have chosen the **Enterprise** Cluster Policy. All other settings can match the default described in the quickstart.
 
    It takes a few minutes for the cache to create. You can move on to the next step in the meantime.
 
-    :::image type="content" source="media/cache-create/enterprise-tier-basics.png" alt-text="Screenshot showing the Enterprise tier Basics tab filled out.":::
+    :::image type="content" source="../azure-cache-for-redis/media/cache-create/enterprise-tier-basics.png" alt-text="Screenshot showing the Enterprise tier Basics tab filled out.":::
 
 ## Set up your development environment
 
@@ -260,7 +260,7 @@ Now that the data has been filtered and loaded into LangChain, you'll create emb
 
 1. Execute code cell 8.  This can take over 30 minutes to complete. A `redis_schema.yaml` file is generated as well. This file is useful if you want to connect to your index in Azure Cache for Redis instance without re-generating embeddings.
 
-> [!Important]
+> [!IMPORTANT]
 > The speed at which embeddings are generated depends on the [quota available](/azure/ai-services/openai/quotas-limits) to the Azure OpenAI Model. With a quota of 240k tokens per minute, it will take around 30 minutes to process the 7M tokens in the data set.
 > 
 ## Run vector search queries
@@ -339,8 +339,8 @@ With Azure Cache for Redis and Azure OpenAI Service, you can use embeddings and
 
 ## Related Content
 
-- [Learn more about Azure Cache for Redis](cache-overview.md)
-- Learn more about Azure Cache for Redis [vector search capabilities](./cache-overview-vector-similarity.md)
+- [Learn more about Azure Cache for Redis](overview.md)
+- Learn more about Azure Cache for Redis [vector search capabilities](overview-vector-similarity.md)
 - Learn more about [embeddings generated by Azure OpenAI Service](/azure/ai-services/openai/concepts/understand-embeddings)
 - Learn more about [cosine similarity](https://en.wikipedia.org/wiki/Cosine_similarity)
 - [Read how to build an AI-powered app with OpenAI and Redis](https://techcommunity.microsoft.com/blog/azuredevcommunityblog/vector-similarity-search-with-azure-cache-for-redis-enterprise/3822059)