README.md

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

Quickstart: Vector search in Azure AI Search using Java

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
pom.xml	Project file that defines dependencies and build settings
application.properties	Configuration file for search service endpoint
CreateIndex.java	Creates a search index with vector field configurations
DeleteIndex.java	Deletes an existing search index
UploadDocuments.java	Uploads documents with precomputed embeddings
QueryVector.java	Precomputed sample query vector
Search*.java	Runs vector, hybrid, and semantic hybrid queries

Documentation

This sample accompanies Quickstart: Vector search using Java. 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.