Quickstart: Use the Bing Entity Search client library
Warning
On October 30, 2020, the Bing Search APIs moved from Azure AI services to Bing Search Services. This documentation is provided for reference only. For updated documentation, see the Bing search API documentation. For instructions on creating new Azure resources for Bing search, see Create a Bing Search resource through the Azure Marketplace.
Use this quickstart to begin searching for entities with the Bing Entity Search client library for C#. While Bing Entity Search has a REST API compatible with most programming languages, the client library provides an easy way to integrate the service into your applications. The source code for this sample can be found on GitHub.
Prerequisites
- Any edition of Visual Studio 2017 or later.
- The Json.NET framework, available as a NuGet package.
- If you are using Linux/MacOS, this application can be run using Mono.
- The Bing News Search SDK NuGet package. Installing this package also installs the following:
- Microsoft.Rest.ClientRuntime
- Microsoft.Rest.ClientRuntime.Azure
- Newtonsoft.Json
To add the Bing Entity Search client library to your Visual Studio project, use the Manage NuGet Packages option from Solution Explorer, and add the Microsoft.Azure.CognitiveServices.Search.EntitySearch
package.
Create an Azure resource
Start using the Bing Entity Search API by creating one of the following Azure resources.
Bing Entity Search resource
- Available through the Azure portal until you delete the resource.
- Use the free pricing tier to try the service, and upgrade later to a paid tier for production.
- Bing Entity Search is also offered in paid tiers of the Bing Search v7 resource.
Multi-Service resource
- Available through the Azure portal until you delete the resource.
- Use the same key and endpoint for your applications, across multiple Azure AI services.
Create and initialize an application
create a new C# console solution in Visual Studio. Then add the following into the main code file.
using System; using System.Linq; using System.Text; using Microsoft.Azure.CognitiveServices.Search.EntitySearch; using Microsoft.Azure.CognitiveServices.Search.EntitySearch.Models; using Newtonsoft.Json;
Create a client and send a search request
Create a new search client. Add your subscription key by creating a new
ApiKeyServiceClientCredentials
.var client = new EntitySearchClient(new ApiKeyServiceClientCredentials("YOUR-ACCESS-KEY"));
Use the client's
Entities.Search()
function to search for your query:var entityData = client.Entities.Search(query: "Satya Nadella");
Get and print an entity description
If the API returned search results, get the main entity from
entityData
.var mainEntity = entityData.Entities.Value.Where(thing => thing.EntityPresentationInfo.EntityScenario == EntityScenario.DominantEntity).FirstOrDefault();
Print the description of the main entity
Console.WriteLine(mainEntity.Description);
Next steps
Use this quickstart to begin searching for entities with the Bing Entity Search client library for Java. While Bing Entity Search has a REST API compatible with most programming languages, the client library provides an easy way to integrate the service into your applications. The source code for this sample can be found on GitHub.
Prerequisites
The Bing Entity Search client library for Java
Install the Bing Entity Search client library dependencies by using Maven, Gradle, or another dependency management system. The Maven POM file requires the declaration:
<dependency>
<groupId>com.microsoft.azure.cognitiveservices</groupId>
<artifactId>azure-cognitiveservices-entitysearch</artifactId>
<version>1.0.2</version>
</dependency>
Create an Azure resource
Start using the Bing Entity Search API by creating one of the following Azure resources.
Bing Entity Search resource
- Available through the Azure portal until you delete the resource.
- Use the free pricing tier to try the service, and upgrade later to a paid tier for production.
- Bing Entity Search is also offered in paid tiers of the Bing Search v7 resource.
Multi-Service resource
- Available through the Azure portal until you delete the resource.
- Use the same key and endpoint for your applications, across multiple Azure AI services.
Create and initialize a project
Create a new Java project in your favorite IDE or editor, and import the following libraries.
import com.microsoft.azure.cognitiveservices.entitysearch.*; import com.microsoft.azure.cognitiveservices.entitysearch.implementation.EntitySearchAPIImpl; import com.microsoft.azure.cognitiveservices.entitysearch.implementation.SearchResponseInner; import com.microsoft.rest.credentials.ServiceClientCredentials; import okhttp3.Interceptor; import okhttp3.OkHttpClient; import okhttp3.Request; import okhttp3.Response; import java.io.IOException; import java.util.ArrayList; import java.util.List;
Create a variable for your subscription key
String subscriptionKey = "your-key-here"
Create a search client
Implement the
dominantEntityLookup
client, which requires your API endpoint, and an instance of theServiceClientCredentials
class. You can use the global endpoint below, or the custom subdomain endpoint displayed in the Azure portal for your resource.public static EntitySearchAPIImpl getClient(final String subscriptionKey) { return new EntitySearchAPIImpl("https://api.cognitive.microsoft.com/bing/v7.0/", new ServiceClientCredentials() { //... } )};
To implement the
ServiceClientCredentials
, follow these steps:override the
applyCredentialsFilter()
function, with aOkHttpClient.Builder
object as a parameter.//... new ServiceClientCredentials() { @Override public void applyCredentialsFilter(OkHttpClient.Builder builder) { //... } //...
Within
applyCredentialsFilter()
, callbuilder.addNetworkInterceptor()
. Create a newInterceptor
object, and override itsintercept()
method to take aChain
interceptor object.//... builder.addNetworkInterceptor( new Interceptor() { @Override public Response intercept(Chain chain) throws IOException { //... } }); ///...
Within the
intercept
function, create variables for your request. UseRequest.Builder()
to build your request. Add your subscription key to theOcp-Apim-Subscription-Key
header, and returnchain.proceed()
on the request object.//... public Response intercept(Chain chain) throws IOException { Request request = null; Request original = chain.request(); Request.Builder requestBuilder = original.newBuilder() .addHeader("Ocp-Apim-Subscription-Key", subscriptionKey); request = requestBuilder.build(); return chain.proceed(request); } //...
Send a request and receive a response
Create a new instance of the search client with your subscription key. use
client.entities().search()
to send a search request for the search querysatya nadella
, and get a response.EntitySearchAPIImpl client = getClient(subscriptionKey); SearchResponseInner entityData = client.entities().search( "satya nadella", null, null, null, null, null, null, "en-us", null, null, SafeSearch.STRICT, null);
If any entities were returned, convert them into a list. Iterate through them, and print the dominant entity.
if (entityData.entities().value().size() > 0){ // Find the entity that represents the dominant entity List<Thing> entries = entityData.entities().value(); Thing dominateEntry = null; for(Thing thing : entries) { if(thing.entityPresentationInfo().entityScenario() == EntityScenario.DOMINANT_ENTITY) { System.out.println("\r\nSearched for \"Satya Nadella\" and found a dominant entity with this description:"); System.out.println(thing.description()); break; } } }
Next steps
Use this quickstart to begin searching for entities with the Bing Entity Search client library for JavaScript. While Bing Entity Search has a REST API compatible with most programming languages, the client library provides an easy way to integrate the service into your applications. The source code for this sample can be found on GitHub.
Prerequisites
- The latest version of Node.js.
- The Bing Entity Search SDK for JavaScript
- To install, run
npm install @azure/cognitiveservices-entitysearch
- To install, run
- The
CognitiveServicesCredentials
class from@azure/ms-rest-azure-js
package to authenticate the client.- To install, run
npm install @azure/ms-rest-azure-js
- To install, run
Create an Azure resource
Start using the Bing Entity Search API by creating one of the following Azure resources.
Bing Entity Search resource
- Available through the Azure portal until you delete the resource.
- Use the free pricing tier to try the service, and upgrade later to a paid tier for production.
- Bing Entity Search is also offered in paid tiers of the Bing Search v7 resource.
Multi-Service resource
- Available through the Azure portal until you delete the resource.
- Use the same key and endpoint for your applications, across multiple Azure AI services.
Create and initialize the application
Create a new JavaScript file in your favorite IDE or editor, and add the following requirements.
const CognitiveServicesCredentials = require('@azure/ms-rest-azure-js').CognitiveServicesCredentials; const EntitySearchAPIClient = require('@azure/cognitiveservices-entitysearch');
Create an instance of
CognitiveServicesCredentials
using your subscription key. Then create an instance of the search client with it.let credentials = new CognitiveServicesCredentials('YOUR-ACCESS-KEY'); let entitySearchApiClient = new EntitySearchAPIClient(credentials);
Send a request and receive a response
Send an entities search request with
entitiesOperations.search()
. After receiving a response, print out thequeryContext
, number of returned results, and the description of the first result.entitySearchApiClient.entitiesOperations.search('seahawks').then((result) => { console.log(result.queryContext); console.log(result.entities.value); console.log(result.entities.value[0].description); }).catch((err) => { throw err; });
Next steps
Use this quickstart to begin searching for entities with the Bing Entity Search client library for Python. While Bing Entity Search has a REST API compatible with most programming languages, the client library provides an easy way to integrate the service into your applications. The source code for this sample can be found on GitHub.
Prerequisites
Python 2.x or 3.x
It is recommended that you use a Python virtual environment. You can install and initialize a virtual environment with the venv module. You can install virtualenv with:
python -m venv mytestenv
Install the Bing Entity Search client library with:
cd mytestenv
python -m pip install azure-cognitiveservices-search-entitysearch
Create an Azure resource
Start using the Bing Entity Search API by creating one of the following Azure resources.
Bing Entity Search resource
- Available through the Azure portal until you delete the resource.
- Use the free pricing tier to try the service, and upgrade later to a paid tier for production.
- Bing Entity Search is also offered in paid tiers of the Bing Search v7 resource.
Multi-Service resource
- Available through the Azure portal until you delete the resource.
- Use the same key and endpoint for your applications, across multiple Azure AI services.
Create and initialize the application
Create a new Python file in your favorite IDE or editor, and add the following import statements.
from azure.cognitiveservices.search.entitysearch import EntitySearchClient from azure.cognitiveservices.search.entitysearch.models import Place, ErrorResponseException from msrest.authentication import CognitiveServicesCredentials
Create a variable for your subscription key and endpoint. Instantiate the client by creating a new
CognitiveServicesCredentials
object with your key.subscription_key = "YOUR-SUBSCRIPTION-KEY" endpoint = "YOUR-ENDPOINT" client = EntitySearchclient(endpoint=endpoint, credentials=CognitiveServicesCredentials(subscription_key))
Send a search request and receive a response
Send a search request to Bing Entity Search with
client.entities.search()
and a search query.entity_data = client.entities.search(query="Gibralter")
If entities were returned, convert
entity_data.entities.value
to a list, and print the first result.if entity_data.entities.value: main_entities = [entity for entity in entity_data.entities.value if entity.entity_presentation_info.entity_scenario == "DominantEntity"] if main_entities: print(main_entities[0].description)