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In this quickstart, you use the Azure AI Search REST APIs to create, load, and query vectors.
In Azure AI Search, a vector store has an index schema that defines vector and nonvector fields, a vector search configuration for algorithms that create the embedding space, and settings on vector field definitions that are evaluated at query time. The Create Index REST API creates the vector store.
Note
This quickstart omits the vectorization step and provides inline embeddings. If you want to add built-in data chunking and vectorization over your own content, try the Import and vectorize data wizard for an end-to-end walkthrough.
Prerequisites
An Azure account with an active subscription. Create an account for free.
An Azure AI Search service. Create a service or find an existing service in your current subscription.
- You can use a free search service for most of this quickstart, but we recommend the Basic tier or higher for larger data files.
- To run the query example that invokes semantic reranking, your search service must be at the Basic tier or higher with semantic ranker enabled.
Visual Studio Code with a REST client.
Retrieve resource information
Requests to the search endpoint must be authenticated and authorized. You can use API keys or roles for this task. We recommend using a keyless connection via Microsoft Entra ID.
Select the tab that corresponds to your preferred authentication method. Use the same method for all requests in this quickstart.
Sign in to the Azure portal and find your search service.
On the Overview home page, find the URL. An example endpoint might look like
https://mydemo.search.windows.net.
Follow the steps in the keyless quickstart to get your Microsoft Entra token.
You get the token when you run the
az account get-access-tokencommand in step 3 of the previous quickstart.az account get-access-token --scope https://search.azure.com/.default --query accessToken --output tsv
Create or download the code file
You use one .rest or .http file to run all the requests in this quickstart. You can download the REST file that contains the code for this quickstart, or you can create a new file in Visual Studio Code and copy the code into it.
In Visual Studio Code, create a new file with a
.restor.httpfile extension. For example,az-search-vector-quickstart.rest. Copy and paste the raw contents of the Azure-Samples/azure-search-rest-samples/blob/main/Quickstart-vectors/az-search-vector-quickstart.rest file into this new file.At the top of the file, replace the placeholder value for
@baseUrlwith your search service URL. See the Retrieve resource information section for instructions on how to find your search service URL.@baseUrl = PUT-YOUR-SEARCH-SERVICE-URL-HEREAt the top of the file, replace the placeholder value for authentication. See the Retrieve resource information section for instructions on how to get your Microsoft Entra token or API key.
For the recommended keyless authentication via Microsoft Entra ID, you need to replace
@apiKeywith the@tokenvariable.@token = PUT-YOUR-MICROSOFT-ENTRA-TOKEN-HEREIf you prefer to use an API key, replace
@apiKeywith the key you copied from the Azure portal.@apiKey = PUT-YOUR-ADMIN-KEY-HEREFor the recommended keyless authentication via Microsoft Entra ID, you need to replace
api-key: {{apiKey}}withAuthorization: Bearer {{token}}in the request headers. Replace all instances ofapi-key: {{apiKey}}that you find in the file.
Create a vector index
You use the Create Index REST API to create a vector index and set up the physical data structures on your search service.
The index schema in this example is organized around hotel content. Sample data consists of vector and nonvector descriptions of fictitious hotels. This schema includes configurations for vector indexing and queries, and for semantic ranking.
In Visual Studio Code, open the
az-search-vector-quickstart.restfile you created earlier.Find the
### Create a new indexcode block in the file. This block contains the request to create thehotels-vector-quickstartindex on your search service.### Create a new index POST {{baseUrl}}/indexes?api-version=2024-07-01 HTTP/1.1 Content-Type: application/json Authorization: Bearer {{token}} { "name": "hotels-vector-quickstart", "fields": [ { "name": "HotelId", "type": "Edm.String", "searchable": false, "filterable": true, "retrievable": true, "sortable": false, "facetable": false, "key": true }, { "name": "HotelName", "type": "Edm.String", "searchable": true, "filterable": false, "retrievable": true, "sortable": true, "facetable": false }, { "name": "Description", "type": "Edm.String", "searchable": true, "filterable": false, "retrievable": true, "sortable": false, "facetable": false }, { "name": "DescriptionVector", "type": "Collection(Edm.Single)", "searchable": true, "retrievable": true, "dimensions": 1536, "vectorSearchProfile": "my-vector-profile" }, { "name": "Category", "type": "Edm.String", "searchable": true, "filterable": true, "retrievable": true, "sortable": true, "facetable": true }, { "name": "Tags", "type": "Collection(Edm.String)", "searchable": true, "filterable": true, "retrievable": true, "sortable": false, "facetable": true }, { "name": "ParkingIncluded", "type": "Edm.Boolean", "searchable": false, "filterable": true, "retrievable": true, "sortable": true, "facetable": true }, { "name": "LastRenovationDate", "type": "Edm.DateTimeOffset", "searchable": false, "filterable": true, "retrievable": true, "sortable": true, "facetable": true }, { "name": "Rating", "type": "Edm.Double", "searchable": false, "filterable": true, "retrievable": true, "sortable": true, "facetable": true }, { "name": "Address", "type": "Edm.ComplexType", "fields": [ { "name": "StreetAddress", "type": "Edm.String", "searchable": true, "filterable": false, "retrievable": true, "sortable": false, "facetable": false }, { "name": "City", "type": "Edm.String", "searchable": true, "filterable": true, "retrievable": true, "sortable": true, "facetable": true }, { "name": "StateProvince", "type": "Edm.String", "searchable": true, "filterable": true, "retrievable": true, "sortable": true, "facetable": true }, { "name": "PostalCode", "type": "Edm.String", "searchable": true, "filterable": true, "retrievable": true, "sortable": true, "facetable": true }, { "name": "Country", "type": "Edm.String", "searchable": true, "filterable": true, "retrievable": true, "sortable": true, "facetable": true } ] }, { "name": "Location", "type": "Edm.GeographyPoint", "searchable": false, "filterable": true, "retrievable": true, "sortable": true, "facetable": false } ], "vectorSearch": { "algorithms": [ { "name": "hnsw-vector-config", "kind": "hnsw", "hnswParameters": { "m": 4, "efConstruction": 400, "efSearch": 500, "metric": "cosine" } }, { "name": "eknn-vector-config", "kind": "exhaustiveKnn", "exhaustiveKnnParameters": { "metric": "cosine" } } ], "profiles": [ { "name": "my-vector-profile", "algorithm": "hnsw-vector-config" } ] }, "semantic": { "configurations": [ { "name": "semantic-config", "prioritizedFields": { "titleField": { "fieldName": "HotelName" }, "prioritizedContentFields": [ { "fieldName": "Description" } ], "prioritizedKeywordsFields": [ { "fieldName": "Category" } ] } } ] } }Select Send request. You should have an
HTTP/1.1 201 Createdresponse.The response body should include the JSON representation of the index schema.
{ "@odata.context": "https://my-demo-search.search.windows.net/$metadata#indexes/$entity", "@odata.etag": "\"0x8DD2E70E6C36D8E\"", "name": "hotels-vector-quickstart", "defaultScoringProfile": null, "fields": [ { "name": "HotelId", "type": "Edm.String", "searchable": false, "filterable": true, "retrievable": true, "sortable": false, "facetable": false, "key": true, "indexAnalyzer": null, "searchAnalyzer": null, "analyzer": null, "dimensions": null, "vectorSearchProfile": null, "synonymMaps": [] }, [MORE FIELD DEFINITIONS OMITTED FOR BREVITY] ], "scoringProfiles": [], "corsOptions": null, "suggesters": [], "analyzers": [], "tokenizers": [], "tokenFilters": [], "charFilters": [], "encryptionKey": null, "similarity": { "@odata.type": "#Microsoft.Azure.Search.BM25Similarity", "k1": null, "b": null }, "vectorSearch": { "algorithms": [ { "name": "hnsw-vector-config", "kind": "hnsw", "hnswParameters": { "metric": "cosine", "m": 4, "efConstruction": 400, "efSearch": 500 }, "exhaustiveKnnParameters": null }, "exhaustiveKnnParameters": null }, { "name": "eknn-vector-config", "kind": "exhaustiveKnn", "hnswParameters": null, "exhaustiveKnnParameters": { "metric": "cosine" } } ], "profiles": [ { "name": "my-vector-profile", "algorithm": "hnsw-vector-config-1" } ] }, "semantic": { "defaultConfiguration": null, "configurations": [ { "name": "semantic-config", "prioritizedFields": { "titleField": { "fieldName": "HotelName" }, "prioritizedContentFields": [ { "fieldName": "Description" } ], "prioritizedKeywordsFields": [ { "fieldName": "Category" } ] } } ] } }
Key takeaways about the Create Index REST API:
The
fieldscollection includes a required key field and text and vector fields (such asDescriptionandDescriptionVector) for text and vector search. Colocating vector and nonvector fields in the same index enables hybrid queries. For instance, you can combine filters, text search with semantic ranking, and vectors into a single query operation.Vector fields must be one of the EDM data types used for vectors, such as
type: Collection(Edm.Single). Vector fields also havedimensionsandvectorSearchProfileproperties.The
vectorSearchsection is an array of approximate nearest neighbor algorithm configurations and profiles. Supported algorithms include hierarchical navigable small world and exhaustive k-nearest neighbor. For more information, see Relevance scoring in vector search.The (optional)
semanticconfiguration enables reranking of search results. You can rerank results in queries of typesemanticfor string fields that are specified in the configuration. To learn more, see Semantic ranking overview.
Upload documents
Creating and loading the index are separate steps. You created the index schema in the previous step. Now you need to load documents into the index.
In Azure AI Search, the index contains all searchable data and queries run on the search service. For REST calls, the data is provided as JSON documents. Use Documents- Index REST API for this task. The URI is extended to include the docs collection and the index operation.
Formulate an upload documents request to upload documents to the
hotels-vector-quickstartindex on your search service.### Upload documents POST {{baseUrl}}/indexes/hotels-quickstart-vectors/docs/index?api-version=2024-07-01 HTTP/1.1 Content-Type: application/json Authorization: Bearer {{token}} { "value": [ { "@search.action": "mergeOrUpload", "HotelId": "1", "HotelName": "Stay-Kay City Hotel", "Description": "This classic hotel is fully-refurbished and ideally located on the main commercial artery of the city in the heart of New York. A few minutes away is Times Square and the historic centre of the city, as well as other places of interest that make New York one of America's most attractive and cosmopolitan cities.", "DescriptionVector": 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"Category": "Boutique", "Tags": [ "view", "air conditioning", "concierge" ], "ParkingIncluded": false, "LastRenovationDate": "2022-01-18T00:00:00Z", "Rating": 3.60, "Address": { "StreetAddress": "677 5th Ave", "City": "New York", "StateProvince": "NY", "PostalCode": "10022", "Country": "USA" }, "Location": { "type": "Point", "coordinates": [ -73.975403, 40.760586 ] } }, { "@search.action": "mergeOrUpload", "HotelId": "2", "HotelName": "Old Century Hotel", "Description": "The hotel is situated in a nineteenth century plaza, which has been expanded and renovated to the highest architectural standards to create a modern, functional and first-class hotel in which art and unique historical elements coexist with the most modern comforts. The hotel also regularly hosts events like wine tastings, beer dinners, and live music.", "DescriptionVector": 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"Category": "Boutique", "Tags": [ "pool", "free wifi", "air conditioning", "concierge" ], "ParkingIncluded": false, "LastRenovationDate": "2019-02-18T00:00:00Z", "Rating": 3.60, "Address": { "StreetAddress": "140 University Town Center Dr", "City": "Sarasota", "StateProvince": "FL", "PostalCode": "34243", "Country": "USA" }, "Location": { "type": "Point", "coordinates": [ -82.452843, 27.384417 ] } }, { "@search.action": "mergeOrUpload", "HotelId": "3", "HotelName": "Gastronomic Landscape Hotel", "Description": "The Gastronomic Hotel stands out for its culinary excellence under the management of William Dough, who advises on and oversees all of the Hotel’s restaurant services.", "DescriptionVector": 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"Category": "Suite", "Tags": [ "restaurant", "bar", "continental breakfast" ], "ParkingIncluded": true, "LastRenovationDate": "2015-09-20T00:00:00Z", "Rating": 4.80, "Address": { "StreetAddress": "3393 Peachtree Rd", "City": "Atlanta", "StateProvince": "GA", "PostalCode": "30326", "Country": "USA" }, "Location": { "type": "Point", "coordinates": [ 33.847848, -84.363602 ] } }, { "@search.action": "mergeOrUpload", "HotelId": "4", "HotelName": "Sublime Palace Hotel", "Description": "Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience.", "DescriptionVector": 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"Category": "Boutique", "Tags": [ "concierge", "view", "air conditioning" ], "ParkingIncluded": true, "LastRenovationDate": "2020-02-06T00:00:00Z", "Rating": 4.60, "Address": { "StreetAddress": "7400 San Pedro Ave", "City": "San Antonio", "StateProvince": "TX", "PostalCode": "78216", "Country": "USA" }, "Location": { "type": "Point", "coordinates": [ -98.498923, 29.518029 ] } }, { "@search.action": "mergeOrUpload", "HotelId": "48", "HotelName": "Nordick's Valley Motel", "Description": "Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley.", "DescriptionVector": 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"Category": "Boutique", "Tags": [ "continental breakfast", "air conditioning", "free wifi" ], "ParkingIncluded": false, "LastRenovationDate": "2018-02-19T00:00:00Z", "Rating": 4.5, "Address": { "StreetAddress": "1401 I St NW", "City": "Washington D.C.", "StateProvince": null, "PostalCode": "20005", "Country": "USA" }, "Location": { "type": "Point", "coordinates": [ -77.03241, 38.90166 ], "crs": { "type": "name", "properties": { "name": "EPSG:4326" } } } }, { "@search.action": "mergeOrUpload", "HotelId": "49", "HotelName": "Swirling Currents Hotel", "Description": "Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs.", "DescriptionVector": 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"Category": "Suite", "Tags": [ "air conditioning", "laundry service", "24-hour front desk service" ], "ParkingIncluded": true, "LastRenovationDate": "2018-01-27T00:00:00Z", "Rating": 2.7, "Address": { "StreetAddress": "1100 S Hayes St", "City": "Arlington", "StateProvince": "VA", "PostalCode": "22202", "Country": "USA" }, "Location": { "type": "Point", "coordinates": [ -77.060066, 38.863659 ], "crs": { "type": "name", "properties": { "name": "EPSG:4326" } } } }, { "@search.action": "mergeOrUpload", "HotelId": "13", "HotelName": "Luxury Lion Resort", "Description": "Unmatched Luxury. Visit our downtown hotel to indulge in luxury accommodations. Moments from the stadium and transportation hubs, we feature the best in convenience and comfort.", "DescriptionVector": 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"Category": "Luxury", "Tags": [ "bar", "concierge", "restaurant" ], "ParkingIncluded": false, "LastRenovationDate": "2020-03-18T00:00:00Z", "Rating": 4.1, "Address": { "StreetAddress": "3 Cityplace Dr", "City": "St. Louis", "StateProvince": "MO", "PostalCode": "63141", "Country": "USA" }, "Location": { "type": "Point", "coordinates": [ -90.44081, 38.67219 ], "crs": { "type": "name", "properties": { "name": "EPSG:4326" } } } } ] }Select Send request. You should have an
HTTP/1.1 200 OKresponse. The response body should include the JSON representation of the search documents.
Key takeaways about the Documents - Index REST API request:
Documents in the payload consist of fields defined in the index schema.
Vector fields contain floating point values. The dimensions attribute has a minimum of 2 and a maximum of 3,072 floating point values each. This quickstart sets the dimensions attribute to 1,536 because that's the size of embeddings generated by the Azure OpenAI text-embedding-3-small model.
Run queries
Now that documents are loaded, you can run vector queries against them by using Documents - Search Post (REST).
In the next sections, we run queries against the hotels-vector-quickstart index. The queries include:
The example queries are based on two strings:
- Search string:
historic hotel walk to restaurants and shopping - Vector query string (vectorized into a mathematical representation):
quintessential lodging near running trails, eateries, retail
The vector query string is semantically similar to the search string, but it includes terms that don't exist in the search index. If you do a keyword search for quintessential lodging near running trails, eateries, retail, results are zero in a pure keyword search without semantic ranking. We use this example to show how you can get relevant results using vectors, even if there are no matching terms.
Single vector search
Formulate the request. The query is a 1536 float representation of quintessential lodging near running trails, eateries, retail. The query is searching
DescriptionVectorand returning k-5 results.### Run a single vector query POST {{baseUrl}}/indexes/hotels-vector-quickstart/docs/search?api-version=2024-07-01 HTTP/1.1 Content-Type: application/json Authorization: Bearer {{token}} { "count": true, "select": "HotelId, HotelName, Description, Category, Tags", "vectorQueries": [ { "vector"": 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"k": 5, "fields": "DescriptionVector", "kind": "vector", "exhaustive": true } ] }Key takeaways about the Documents - Search Post REST API:
The
vectorQueries.vectoris the vector query string. It's a vector representation of quintessential lodging near running trails, eateries, retail, which is vectorized into 1,536 embeddings for this query.fieldsdetermines which vector fields are searched.kindset tovectormeans that the query string is a vector. Ifkindwas set totext, you would need extra capability (a vectorizer) to encode a human readable text string into a vector at query time. Vectorizers are omitted from this quickstart to keep the exercise simple.kspecifies the number of nearest neighbors to return in the response. Acountparameter specifies the number of matches found in the index. Including count is a best practice for queries, but it's less useful for similarity search where the algorithm can find some degree of similarity in almost any document.
Select Send request. You should have an
HTTP/1.1 200 OKresponse. The response body should include the JSON representation of the search results.The response for the vector equivalent of
quintessential lodging near running trails, eateries, retailincludes k-5 results although the search engine found 7 matches. The top results are considered the most semantically similar to the query. Each result provides a search score and the fields listed inselect. In a similarity search, the response always includeskresults ordered by the value similarity score.{ "@odata.context": "https://my-demo-search.search.windows.net/indexes('hotels-vector-quickstart')/$metadata#docs(*)", "@odata.count": 7, "value": [ { "@search.score": 0.6605852, "HotelId": "48", "HotelName": "Nordick's Valley Motel", "Description": "Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley.", "Category": "Boutique", "Tags": [ "continental breakfast", "air conditioning", "free wifi" ] }, { "@search.score": 0.6333684, "HotelId": "13", "HotelName": "Luxury Lion Resort", "Description": "Unmatched Luxury. Visit our downtown hotel to indulge in luxury accommodations. Moments from the stadium and transportation hubs, we feature the best in convenience and comfort.", "Category": "Luxury", "Tags": [ "bar", "concierge", "restaurant" ] }, { "@search.score": 0.605672, "HotelId": "4", "HotelName": "Sublime Palace Hotel", "Description": "Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience.", "Category": "Boutique", "Tags": [ "concierge", "view", "air conditioning" ] }, { "@search.score": 0.6026341, "HotelId": "49", "HotelName": "Swirling Currents Hotel", "Description": "Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs.", "Category": "Suite", "Tags": [ "air conditioning", "laundry service", "24-hour front desk service" ] }, { "@search.score": 0.57902366, "HotelId": "2", "HotelName": "Old Century Hotel", "Description": "The hotel is situated in a nineteenth century plaza, which has been expanded and renovated to the highest architectural standards to create a modern, functional and first-class hotel in which art and unique historical elements coexist with the most modern comforts. The hotel also regularly hosts events like wine tastings, beer dinners, and live music.", "Category": "Boutique", "Tags": [ "pool", "free wifi", "air conditioning", "concierge" ] } ] }
Single vector search with filter
You can add filters, but the filters are applied to the nonvector content in your index. In this example, the filter applies to the Tags field to filter out any hotels that don't provide free Wi-Fi.
Formulate the request. This is the same request as the previous one, with an extra filter and filter mode parameter.
### Run a vector query with a filter POST {{baseUrl}}/indexes/hotels-vector-quickstart/docs/search?api-version=2024-07-01 HTTP/1.1 Content-Type: application/json Authorization: Bearer {{token}} { "count": true, "select": "HotelId, HotelName, Category, Tags, Description", "filter": "Tags/any(tag: tag eq 'free wifi')", "vectorFilterMode": "postFilter", "vectorQueries": [ { "vector": 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"k": 5, "fields": "DescriptionVector", "kind": "vector", "exhaustive": true }, ] }Select Send request. You should have an
HTTP/1.1 200 OKresponse. The response body should include the JSON representation of the search results.The query was the same as the previous single vector search example, but it includes a post-processing exclusion filter and returns only the two hotels that have free Wi-Fi.
{ "@odata.context": "https://my-demo-search.search.windows.net/indexes('hotels-vector-quickstart')/$metadata#docs(*)", "@odata.count": 2, "value": [ { "@search.score": 0.6605852, "HotelId": "48", "HotelName": "Nordick's Valley Motel", "Description": "Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley.", "Category": "Boutique", "Tags": [ "continental breakfast", "air conditioning", "free wifi" ] }, { "@search.score": 0.57902366, "HotelId": "2", "HotelName": "Old Century Hotel", "Description": "The hotel is situated in a nineteenth century plaza, which has been expanded and renovated to the highest architectural standards to create a modern, functional and first-class hotel in which art and unique historical elements coexist with the most modern comforts. The hotel also regularly hosts events like wine tastings, beer dinners, and live music.", "Category": "Boutique", "Tags": [ "pool", "free wifi", "air conditioning", "concierge" ] } ] }Here's another query that uses a geo-filter, limiting results to hotels within 300 kilometers around Washington D.C.
### Run a vector query with a geo filter POST {{baseUrl}}/indexes/hotels-vector-quickstart/docs/search?api-version=2024-07-01 HTTP/1.1 Content-Type: application/json Authorization: Bearer {{token}} { "count": true, "select": "HotelId, HotelName, Description, Address/City, Address/StateProvince", "top": 5, "facets": [ "Address/StateProvince"], "filter": "geo.distance(Location, geography'POINT(-77.03241 38.90166)') le 300", "vectorFilterMode": "postFilter", "vectorQueries": [ { "vector": 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"k": 5, "fields": "DescriptionVector", "kind": "vector", "exhaustive": true }, ] }Review the response. It's limited to two hotels near Washington D.C, with a facet structure providing the aggregation.
"@odata.count": 2, "@search.facets": { "Address/StateProvince": [ { "value": "VA", "count": 1 } ] }, "value": [ { "@search.score": 0.6605852246284485, "HotelId": "48", "HotelName": "Nordick's Valley Motel", "Description": "Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley.", "Address": { "City": "Washington D.C.", "StateProvince": null } }, { "@search.score": 0.602634072303772, "HotelId": "49", "HotelName": "Swirling Currents Hotel", "Description": "Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs.", "Address": { "City": "Arlington", "StateProvince": "VA" } } ]
Hybrid search
Hybrid search consists of keyword queries and vector queries in a single search request. This example runs the vector query and full text search concurrently:
- Search string:
historic hotel walk to restaurants and shopping - Vector query string (vectorized into a mathematical representation):
quintessential lodging near running trails, eateries, retail
Formulate the hybrid query.
### Run a hybrid query POST {{baseUrl}}/indexes/hotels-vector-quickstart/docs/search?api-version=2024-07-01 HTTP/1.1 Content-Type: application/json Authorization: Bearer {{token}} { "count": true, "search": "historic hotel walk to restaurants and shopping", "select": "HotelName, Description", "top": 7, "vectorQueries": [ { "vector": 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"k": 5, "fields": "DescriptionVector", "kind": "vector", "exhaustive": true } ] }Select Send request. You should have an
HTTP/1.1 200 OKresponse. The response body should include the JSON representation of the search results.
Because this is a hybrid query, results are ranked by Reciprocal Rank Fusion (RRF). Notice that @search.score values have a different basis and are uniformly smaller values. RRF evaluates search scores of multiple search results, takes the inverse, and then merges and sorts the combined results. The top number of results are returned.
Review the response, consisting of the top k-5 matches out of 7 matching documents in the index:
{
"@odata.count": 7,
"value": [
{
"@search.score": 0.03279569745063782,
"HotelName": "Sublime Palace Hotel",
"Description": "Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience."
},
{
"@search.score": 0.032522473484277725,
"HotelName": "Luxury Lion Resort",
"Description": "Unmatched Luxury. Visit our downtown hotel to indulge in luxury accommodations. Moments from the stadium and transportation hubs, we feature the best in convenience and comfort."
},
{
"@search.score": 0.03205128386616707,
"HotelName": "Nordick's Valley Motel",
"Description": "Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley."
},
{
"@search.score": 0.0317460335791111,
"HotelName": "Swirling Currents Hotel",
"Description": "Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs."
},
{
"@search.score": 0.03125,
"HotelName": "Old Century Hotel",
"Description": "The hotel is situated in a nineteenth century plaza, which has been expanded and renovated to the highest architectural standards to create a modern, functional and first-class hotel in which art and unique historical elements coexist with the most modern comforts. The hotel also regularly hosts events like wine tastings, beer dinners, and live music."
}
]
}
Because RRF merges results, it helps to review the inputs individually.
The following results are from the full-text portion of the query: historic hotel walk to restaurants and shopping. In the full text query, the top three results are Sublime Palace Hotel, Stay-Kay City Hotel, and Luxury Lion Resort. The Sublime Palace Hotel has a stronger BM25 relevance score. In the fused query, only two of these matches are in the top 3, and the second match (Stay-Kay City Hotel) doesn't appear in the top 5 at all.
"value": [
{
"@search.score": 1.4868739,
"HotelName": "Sublime Palace Hotel",
"Description": "Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience."
},
{
"@search.score": 1.2699215,
"HotelName": "Stay-Kay City Hotel",
"Description": "This classic hotel is fully-refurbished and ideally located on the main commercial artery of the city in the heart of New York. A few minutes away is Times Square and the historic centre of the city, as well as other places of interest that make New York one of America's most attractive and cosmopolitan cities."
},
{
"@search.score": 1.2456272,
"HotelName": "Luxury Lion Resort",
"Description": "Unmatched Luxury. Visit our downtown hotel to indulge in luxury accommodations. Moments from the stadium and transportation hubs, we feature the best in convenience and comfort."
},
...
]
In the vector portion query (quintessential lodging near running trails, eateries, retail) is a different string so we should expect different results. This query returns Nordick's Valley Motel, Luxury Lion Resort, and Sublime Palace Hotel as the top three matches. In the fused query, these results are in the top 3, but in reverse order.
"value": [
{
"@search.score": 0.6605852,
"HotelName": "Nordick's Valley Motel",
"Description": "Only 90 miles (about 2 hours) from the nation's capital and nearby most everything the historic valley has to offer. Hiking? Wine Tasting? Exploring the caverns? It's all nearby and we have specially priced packages to help make our B&B your home base for fun while visiting the valley."
},
{
"@search.score": 0.6333684,
"HotelName": "Luxury Lion Resort",
"Description": "Unmatched Luxury. Visit our downtown hotel to indulge in luxury accommodations. Moments from the stadium and transportation hubs, we feature the best in convenience and comfort."
},
{
"@search.score": 0.605672,
"HotelName": "Sublime Palace Hotel",
"Description": "Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience."
},
...
]
Semantic hybrid search
Here's the last query in the collection. This hybrid query adds L2 semantic ranking that applies machine reading comprehension over the L1-ranked results, promoting more relevant matches to the top.
Formulate the request.
### Run a hybrid query with semantic reranking POST {{baseUrl}}/indexes/hotels-vector-quickstart/docs/search?api-version=2024-07-01 HTTP/1.1 Content-Type: application/json Authorization: Bearer {{token}} { "count": true, "search": "historic hotel walk to restaurants and shopping", "select": "HotelName, Description", "queryType": "semantic", "semanticConfiguration": "semantic-config", "top": 5, "vectorQueries": [ { "vector": 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"k": 5, "fields": "DescriptionVector", "kind": "vector", "exhaustive": true } ] }Select Send request. You should have an
HTTP/1.1 200 OKresponse. The response body should include the JSON representation of the search results.
Review the response, consisting of a semantic reranking of the RRF-ranked results of the hybrid query. Semantic ranking works off of text inputs. In a text or hybrid query, this input is the text portion of the query (historic hotel walk to restaurants and shopping). To use semantic ranking on a pure vector query, such as the first example, or to explicitly control the text used for semantic ranking, provide a semanticQuery string.
After semantic reranking, Swirling Currents Hotel with its reference to walking access to shopping, dining, entertainment and the city center moves into the top spot. The machine comprehension model promotes walking access to shopping and dining as a closer match to walk to restaurants and shopping.
Before semantic reranking, Sublime Palace, with its reference to walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments was number one.
{
"@odata.count": 7,
"@search.answers": [],
"value": [
{
"@search.score": 0.0317460335791111,
"@search.rerankerScore": 2.6550590991973877,
"HotelId": "49",
"HotelName": "Swirling Currents Hotel",
"Description": "Spacious rooms, glamorous suites and residences, rooftop pool, walking access to shopping, dining, entertainment and the city center. Each room comes equipped with a microwave, a coffee maker and a minifridge. In-room entertainment includes complimentary W-Fi and flat-screen TVs.",
"Category": "Suite"
},
{
"@search.score": 0.03279569745063782,
"@search.rerankerScore": 2.599761724472046,
"HotelId": "4",
"HotelName": "Sublime Palace Hotel",
"Description": "Sublime Palace Hotel is located in the heart of the historic center of Sublime in an extremely vibrant and lively area within short walking distance to the sites and landmarks of the city and is surrounded by the extraordinary beauty of churches, buildings, shops and monuments. Sublime Cliff is part of a lovingly restored 19th century resort, updated for every modern convenience.",
"Category": "Boutique"
},
{
"@search.score": 0.03125,
"@search.rerankerScore": 2.3480887413024902,
"HotelId": "2",
"HotelName": "Old Century Hotel",
"Description": "The hotel is situated in a nineteenth century plaza, which has been expanded and renovated to the highest architectural standards to create a modern, functional and first-class hotel in which art and unique historical elements coexist with the most modern comforts. The hotel also regularly hosts events like wine tastings, beer dinners, and live music.",
"Category": "Boutique"
},
{
"@search.score": 0.03154495730996132,
"@search.rerankerScore": 2.2718777656555176,
"HotelId": "1",
"HotelName": "Stay-Kay City Hotel",
"Description": "This classic hotel is fully-refurbished and ideally located on the main commercial artery of the city in the heart of New York. A few minutes away is Times Square and the historic centre of the city, as well as other places of interest that make New York one of America's most attractive and cosmopolitan cities.",
"Category": "Boutique"
},
{
"@search.score": 0.03053613007068634,
"@search.rerankerScore": 2.0582215785980225,
"HotelId": "3",
"HotelName": "Gastronomic Landscape Hotel",
"Description": "The Gastronomic Hotel stands out for its culinary excellence under the management of William Dough, who advises on and oversees all of the Hotel\u2019s restaurant services.",
"Category": "Suite"
}
]
}
Tip
Semantically ranked results can include more detail, including semantic answers, captions, and highlights. Adding more parameters to the request produces the extra detail. For more information, see Set up a semantic query.
Clean up
When you're working in your own subscription, it's a good idea at the end of a project to identify whether you still need the resources you created. Resources left running can cost you money. You can delete resources individually or delete the resource group to delete the entire set of resources.
You can find and manage resources in the Azure portal by using the All resources or Resource groups link in the leftmost pane.
If you want to keep the search service, but delete the index and documents, you can use the DELETE command in the REST client. This command (at the end of your az-search-vector-quickstart.rest file) deletes the hotels-vector-quickstart index:
### Delete an index
DELETE {{baseUrl}}/indexes/hotels-vector-quickstart?api-version=2024-07-01 HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}
Next steps
As a next step, we recommend learning how to invoke REST API calls without API keys.
You might also want to review the demo code for Python, C#, or JavaScript.