This repository contains Java code samples used in Azure AI Search documentation. Unless noted otherwise, all samples run on the shared (free) pricing tier of an Azure AI Search service.
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Use the main branch for code samples that call the Azure AI Search client library for Java.
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Use the java-rest-api branch for older code samples that call the AI Search REST APIs.
| Sample | Description |
|---|---|
| quickstart-agentic-retrieval | Sets up a knowledge base in Azure AI Search to integrate LLM reasoning into query planning. |
| quickstart-keyword-search | Introduces the fundamental tasks of working with a classic search index: create, load, and query. The index is modeled on a subset of the hotels dataset, which is widely used in Azure AI Search samples but reduced in this sample for readability and comprehension. |
| quickstart-semantic-ranking | Extends the quickstart through modifications that invoke semantic ranking. This samples adds a semantic configuration to the index and semantic query options that formulate the query and response. |
| quickstart-vector-search | Introduces vector search in Azure AI Search. This sample demonstrates how to create, load, and query a vector index. |