README.md

page_type	sample
languages	typescript
name	Quickstart: Vector search in Azure AI Search using TypeScript
description	Demonstrates vector search capabilities using Azure AI Search with HNSW algorithm.
products	azure azure-cognitive-search
urlFragment	typescript-vector-quickstart

Quickstart: Vector search in Azure AI Search using TypeScript

This sample demonstrates the fundamentals of vector search, including creating a vector index, loading documents with embeddings, and running vector and hybrid queries.

What's in this sample

File	Description
package.json	Project file that defines dependencies
tsconfig.json	TypeScript compiler configuration
sample.env	Environment variable template for configuration
src/createIndex.ts	Creates a search index with vector field configurations
src/deleteIndex.ts	Deletes an existing search index
src/uploadDocuments.ts	Uploads documents with precomputed embeddings
src/queryVector.ts	Precomputed sample query vector
src/search*.ts	Runs vector, hybrid, and semantic hybrid queries

Documentation

This sample accompanies Quickstart: Vector search using TypeScript. Follow the documentation for prerequisites, setup instructions, and detailed explanations.

Next step

You can learn more about Azure AI Search on the official documentation site.