Quickstart: Semantic ranking in Azure AI Search using TypeScript

Browse code

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
tsconfig.json	TypeScript compiler configuration
sample.env	Environment variable template for configuration
src/config.ts	Configuration class for search service connection
src/getIndexSettings.ts	Retrieves index schema and semantic configuration
src/updateIndexSettings.ts	Adds semantic configuration to an index
src/semanticQuery.ts	Runs basic semantic ranking queries
src/semanticQueryReturnCaptions.ts	Runs semantic queries with captions and highlights
src/semanticAnswer.ts	Returns semantic answers from query results

Documentation

This sample accompanies Quickstart: Semantic ranking 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.