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page_type sample
languages
javascript
name Quickstart: Semantic ranking in Azure AI Search using JavaScript
description Demonstrates semantic ranking capabilities to improve search relevance using Azure AI Search.
products
azure
azure-cognitive-search
urlFragment javascript-semantic-ranking-quickstart

Quickstart: Semantic ranking in Azure AI Search using JavaScript

Quickstart sample MIT license badge

This sample demonstrates how to set up semantic ranking. You add a semantic configuration to a search index, and then you add semantic parameters to a query.

What's in this sample

File Description
package.json Project file that defines dependencies and npm scripts
sample.env Environment variable template for configuration
src/config.js Configuration class for search service connection
src/getIndexSettings.js Retrieves index schema and semantic configuration
src/updateIndexSettings.js Adds semantic configuration to an index
src/semanticQuery.js Runs basic semantic ranking queries
src/semanticQueryReturnCaptions.js Runs semantic queries with captions and highlights
src/semanticAnswer.js Returns semantic answers from query results

Documentation

This sample accompanies Quickstart: Semantic ranking using JavaScript. 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.