Add Azure SQL vector search TypeScript quickstart sample

Add a complete TypeScript sample demonstrating vector search with Azure SQL Database:
- Azure OpenAI text-embedding-3-small for generating embeddings
- VECTOR_DISTANCE for similarity search with DiskANN index
- Azure Identity (DefaultAzureCredential) for passwordless auth
- Bicep infrastructure for Azure SQL + OpenAI provisioning
- CI workflow for build validation

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Author: diberry

.github/workflows/vector-search-typescript-ci.yml

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+# CI for the Azure SQL Vector Search TypeScript quickstart sample.
+# Security: uses `pull_request` (read-only token, no secrets on forks)
+# with an explicit same-repo check to skip fork PRs entirely.
+
+name: "Vector Search TypeScript — Build"
+
+on:
+  pull_request:
+    branches: [master]
+    paths:
+      - "samples/features/vector-search/vector-search-query-typescript/**"
+  push:
+    branches: [master]
+    paths:
+      - "samples/features/vector-search/vector-search-query-typescript/**"
+
+# Cancel redundant runs for the same PR / branch.
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
+  cancel-in-progress: true
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    name: Build & type-check
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+
+    # Skip CI on fork PRs — prevents external actors from consuming minutes.
+    if: >-
+      github.event_name == 'push' ||
+      github.event.pull_request.head.repo.full_name == github.event.pull_request.base.repo.full_name
+
+    defaults:
+      run:
+        working-directory: samples/features/vector-search/vector-search-query-typescript
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: "22"
+          cache: "npm"
+          cache-dependency-path: samples/features/vector-search/vector-search-query-typescript/package-lock.json
+
+      - name: Install dependencies
+        run: npm ci
+
+      - name: Type-check (build)
+        run: npm run build

samples/features/vector-search/.gitignore

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+# Environment files
+.env
+.env.*
+!.env.sample
+!.env.example
+
+# Dependencies
+node_modules/
+
+# Build artifacts
+dist/
+build/
+
+# Logs
+*.log
+npm-debug.log*
+
+# OS files
+.DS_Store
+Thumbs.db

samples/features/vector-search/README.md

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+# Vector Search Samples for Azure SQL Database
+
+Native vector search samples demonstrating the `VECTOR()` data type and `VECTOR_DISTANCE()` function in Azure SQL Database.
+
+## Prerequisites
+
+- Azure subscription — [Create one free](https://azure.microsoft.com/pricing/purchase-options/azure-account)
+- [Azure Developer CLI (azd)](https://learn.microsoft.com/azure/developer/azure-developer-cli/install-azd)
+- [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli)
+
+## Quick start with Azure Developer CLI
+
+Deploy all required Azure resources (Azure SQL Database + Azure OpenAI) with one command:
+
+```bash
+azd up --cwd samples/features/vector-search
+```
+
+This provisions:
+- **Azure SQL Database** with native vector support
+- **Azure OpenAI** with `text-embedding-3-small` deployment
+- **Managed Identity** with appropriate role assignments
+
+After deployment, create the `.env` file for the language samples:
+
+```bash
+azd env get-values --cwd samples/features/vector-search > samples/features/vector-search/vector-search-query-typescript/.env
+```
+
+This writes the deployment outputs (`AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_EMBEDDING_DEPLOYMENT`, `AZURE_SQL_SERVER`, `AZURE_SQL_DATABASE`, etc.) directly into the `.env` file that the samples read at runtime.
+
+## Language samples
+
+| Language | Folder | Description |
+|----------|--------|-------------|
+| TypeScript | [vector-search-query-typescript/](./vector-search-query-typescript/) | Vector search with Node.js, tedious driver, and Azure OpenAI |
+
+## Infrastructure only
+
+The `infra/` folder contains Bicep templates that can be deployed independently:
+
+```bash
+azd up --cwd infra  # deploy infrastructure only
+```
+
+Or used as a module in your own Bicep templates.
+
+## Contributing
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+## Related content
+
+- [Vectors in Azure SQL and SQL Server](https://learn.microsoft.com/sql/relational-databases/vectors/vectors-sql-server)
+- [VECTOR_DISTANCE (Transact-SQL)](https://learn.microsoft.com/sql/t-sql/functions/vector-distance-transact-sql)
+- [Azure OpenAI text embeddings](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#embeddings)

samples/features/vector-search/azure.yaml

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+# yaml-language-server: $schema=https://raw.githubusercontent.com/Azure/azure-dev/main/schemas/v1.0/azure.yaml.json
+
+name: sql-vector-search-quickstart
+metadata:
+  template: sql-vector-search-quickstart
+
+# Infrastructure outputs (AZURE_SQL_SERVER, AZURE_OPENAI_ENDPOINT, etc.)
+# are defined in infra/main.bicep and automatically available via:
+#   azd env get-values