metadata

alexwolfmsft · alexwolfmsft · commit e4aba071f857 · 2024-11-26T13:23:12.000-05:00
diff --git a/docs/ai/conceptual/vector-databases.md b/docs/ai/conceptual/vector-databases.md
@@ -3,7 +3,7 @@ title: "Using Vector Databases to Extend LLM Capabilities"
 description: "Learn how vector databases extend LLM capabilities by storing and processing embeddings in .NET."
 author: catbutler
 ms.topic: concept-article #Don't change.
-ms.date: 05/16/2024
+ms.date: 11/24/2024
 
 #customer intent: As a .NET developer, I want to learn how vector databases store and process embeddings in .NET so I can make more data available to LLMs in my apps.
 
diff --git a/docs/ai/tutorials/llm-eval.md b/docs/ai/tutorials/llm-eval.md
@@ -3,7 +3,7 @@ title: "Tutorial: Evaluate an LLM's prompt completions"
 description: "Evaluate the coherence, relevance, and groundedness of an LLM's prompt completions using Azure OpenAI and the Semantic Kernel SDK for .NET."
 author: haywoodsloan
 ms.topic: tutorial
-ms.date: 05/08/2024
+ms.date: 11/24/2024
 
 #customer intent: As a .NET developer, I want to evaluate an LLM's prompt completions using .NET so that I can choose an LLM for my .NET application that fits my use case.
 
diff --git a/docs/ai/tutorials/tutorial-ai-vector-search.md b/docs/ai/tutorials/tutorial-ai-vector-search.md
@@ -1,7 +1,7 @@
 ---
 title: Tutorial - Integrate OpenAI with the RAG pattern and vector search using Azure Cosmos DB for MongoDB
 description: Create a simple recipe app using the RAG pattern and vector search using Azure Cosmos DB for MongoDB.
-ms.date: 04/26/2024
+ms.date: 11/24/2024
 ms.topic: tutorial
 ms.custom: devx-track-dotnet, devx-track-dotnet-ai
 author: alexwolfmsft
