fixed links

Author: HeidiSteen

articles/search/retrieval-augmented-generation-overview.md

@@ -83,9 +83,9 @@ The LLM receives the original prompt, plus the results from Azure AI Search. The
 
 Try a few quickstarts using your own data to understand the development effort and compare outcomes:
 
-+ [Quickstart: Agentic search](search-get-started-agentic-retrieval.md&pivots=programming-language-python)
++ [Quickstart: Agentic search](search-get-started-agentic-retrieval.md)
 
-+ [Quickstart: Classic RAG using grounding data from Azure AI Seach](search-get-started-rag.md&pivots=python)
++ [Quickstart: Classic RAG using grounding data from Azure AI Seach](search-get-started-rag.md)
 
 ## Searchable content in Azure AI Search
 

articles/search/tutorial-rag-build-solution-maximize-relevance.md

@@ -36,7 +36,7 @@ This tutorial updates the search index created by the [indexing pipeline](tutori
 
 - [Azure AI Search](search-create-service-portal.md), Basic tier or higher for managed identity and semantic ranking.
 
-- [Azure OpenAI](/azure/ai-services/openai/how-to/create-resource), with a deployment of text-embedding-002 and gpt-35-turbo.
+- [Azure OpenAI](/azure/ai-services/openai/how-to/create-resource), with a deployment of text-embedding-3-small and gpt-4o.
 
 ## Download the sample
 

articles/search/tutorial-rag-build-solution-models.md

@@ -78,11 +78,11 @@ The following models are commonly used for a chat search experience:
 
 | Client | Chat models |
 |--------|------------|
-| Azure OpenAI | GPT-35-Turbo, <br>GPT-4, <br>GPT-4o, <br>GPT-4 Turbo |
+| Azure OpenAI | <br>GPT-4, <br>GPT-4o, <br>GPT-4.1. <br>GPT-5 |
 
-GPT-35-Turbo and GPT-4 models are optimized to work with inputs formatted as a conversation.
+GPT-4 and GPT-5 models are optimized to work with inputs formatted as a conversation.
 
-We use GPT-4o in this tutorial. During testing, we found that it's less likely to supplement with its own training data. For example, given the query "how much of the earth is covered by water?", GPT-35-Turbo answered using its built-in knowledge of earth to state that 71% of the earth is covered by water, even though the sample data doesn't provide that fact. In contrast, GPT-4o responded (correctly) with "I don't know".
+We use GPT-4o in this tutorial.
 
 ## Deploy models and collect information