Add Azure SQL vector search TypeScript quickstart sample

- TypeScript sample using tedious + Azure OpenAI for vector search
- Bicep infrastructure (Azure SQL, OpenAI, managed identity)
- Pre-computed embeddings with batched parameterized inserts
- Exact nearest neighbor and DiskANN approximate search
- Passwordless auth via DefaultAzureCredential
- azd-compatible project structure

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

Author: diberry

samples/features/vector-search/.gitignore

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+.env
+node_modules/

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