azure-search-documents-ts
Build search applications with vector, hybrid, and semantic search capabilities.
Azure AI Search SDK for TypeScript
Build search applications with vector, hybrid, and semantic search capabilities.
Installation
npm install @azure/search-documents @azure/identity
Environment Variables
AZURE_SEARCH_ENDPOINT=https://<service-name>.search.windows.net
AZURE_SEARCH_INDEX_NAME=my-index
AZURE_SEARCH_ADMIN_KEY=<admin-key> # Optional if using Entra ID
Authentication
import { SearchClient, SearchIndexClient } from "@azure/search-documents";
import { DefaultAzureCredential } from "@azure/identity";
const endpoint = process.env.AZURE_SEARCH_ENDPOINT!;
const indexName = process.env.AZURE_SEARCH_INDEX_NAME!;
const credential = new DefaultAzureCredential();
// For searching
const searchClient = new SearchClient(endpoint, indexName, credential);
// For index management
const indexClient = new SearchIndexClient(endpoint, credential);
Core Workflow
Create Index with Vector Field
import { SearchIndex, SearchField, VectorSearch } from "@azure/search-documents";
const index: SearchIndex = {
name: "products",
fields: [
{ name: "id", type: "Edm.String", key: true },
{ name: "title", type: "Edm.String", searchable: true },
{ name: "description", type: "Edm.String", searchable: true },
{ name: "category", type: "Edm.String", filterable: true, facetable: true },
{
naSubscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | community |
|---|---|
| License | — |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-02-27 |
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