Merge pull request #39 from PatAltimore/patricka-metadata

Add sample browser metadata

Author: diberry

ai/vector-search-agent-go/README.md

@@ -1,3 +1,15 @@
+<!--
+---
+page_type: sample
+name: "DocumentDB Vector Search for Go"
+description: This sample demonstrates building an intelligent AI agent using Go with Azure DocumentDB vector search capabilities. The agent provides hotel recommendations based on user queries by leveraging a two-agent architecture: a planner agent for query refinement and vector search, and a synthesizer agent for comparative analysis of results.
+urlFragment: vector-search-go
+languages:
+- go
+products:
+- azure
+---
+-->
 # AI Agent with Vector Search Sample using Go and Azure DocumentDB
 
 This sample demonstrates building an intelligent AI agent using Go with Azure DocumentDB vector search capabilities. The agent provides hotel recommendations based on user queries by leveraging a two-agent architecture: a planner agent for query refinement and vector search, and a synthesizer agent for comparative analysis of results.

ai/vector-search-dotnet/README.md

@@ -1,3 +1,15 @@
+<!--
+---
+page_type: sample
+name: "DocumentDB Vector Search for .NET"
+description: This .NET 8.0 sample application demonstrates vector similarity searches using Azure DocumentDB with different vector search algorithms (IVF, HNSW, and DiskANN). The application uses hotel data and text embeddings generated by Azure OpenAI.
+urlFragment: vector-search-dotnet
+languages:
+- csharp
+products:
+- azure
+---
+-->
 # DocumentDB Vector Search Sample
 
 This .NET 8.0 sample application demonstrates vector similarity searches using Azure DocumentDB with different vector search algorithms (IVF, HNSW, and DiskANN). The application uses hotel data and text embeddings generated by Azure OpenAI.

ai/vector-search-go/README.md

@@ -1,3 +1,15 @@
+<!--
+---
+page_type: sample
+name: "DocumentDB Vector Search for Go"
+description: This sample demonstrates vector search capabilities using Azure DocumentDB with Go. It includes implementations of three different vector index types: DiskANN, HNSW, and IVF, along with utilities for embedding generation and data management.
+urlFragment: vector-search-go
+languages:
+- go
+products:
+- azure
+---
+-->
 # Azure DocumentDB Vector Samples (Go)
 
 This project demonstrates vector search capabilities using Azure DocumentDB with Go. It includes implementations of three different vector index types: DiskANN, HNSW, and IVF, along with utilities for embedding generation and data management.

ai/vector-search-java/README.md

@@ -1,3 +1,15 @@
+<!--
+---
+page_type: sample
+name: "DocumentDB Vector Search for Java"
+description: This sample demonstrates vector search capabilities using Azure DocumentDB with Java. It includes implementations of three different vector index types: DiskANN, HNSW, and IVF.
+urlFragment: vector-search-java
+languages:
+- java
+products:
+- azure
+---
+-->
 # DocumentDB Vector Samples (Java)
 
 This project demonstrates vector search capabilities using Azure DocumentDB with Java. It includes implementations of three different vector index types: DiskANN, HNSW, and IVF.

ai/vector-search-python/README.md

@@ -1,3 +1,15 @@
+<!--
+---
+page_type: sample
+name: "DocumentDB Vector Search for Python"
+description: This sample demonstrates vector search capabilities using Azure DocumentDB with Python. It includes implementations of three different vector index types: DiskANN, HNSW, and IVF, along with utilities for embedding generation and data management.
+urlFragment: vector-search-python
+languages:
+- python
+products:
+- azure
+---
+-->
 # DocumentDB Vector Samples (Python)
 
 This project demonstrates vector search capabilities using Azure DocumentDB with Python. It includes implementations of three different vector index types: DiskANN, HNSW, and IVF, along with utilities for embedding generation and data management.

ai/vector-search-typescript/README.md

@@ -1,3 +1,15 @@
+<!--
+---
+page_type: sample
+name: "DocumentDB Vector Search for TypeScript"
+description: This sample demonstrates vector search capabilities using Azure DocumentDB with TypeScript/Node.js. It includes implementations of three different vector index types: DiskANN, HNSW, and IVF, along with utilities for embedding generation and data management.
+urlFragment: vector-search-typescript
+languages:
+- typescript
+products:
+- azure
+---
+-->
 # DocumentDB Vector Samples (TypeScript)
 
 This project demonstrates vector search capabilities using Azure DocumentDB with TypeScript/Node.js. It includes implementations of three different vector index types: DiskANN, HNSW, and IVF, along with utilities for embedding generation and data management.