Prebuilt - Generate Answer
GenerateAnswer call to query text in documents.
POST {Endpoint}/qnamaker/v5.0-preview.2/generateAnswer
POST {Endpoint}/qnamaker/v5.0-preview.2/generateAnswer?stringIndexType={stringIndexType}
URI Parameters
Name | In | Required | Type | Description |
---|---|---|---|---|
Endpoint
|
path | True |
string |
Supported Cognitive Services endpoint (e.g., https://< qnamaker-resource-name >.api.cognitiveservices.azure.com). |
string
|
query |
string |
(Optional) Specifies the method used to interpret string offsets. Defaults to Text Elements (Graphemes) according to Unicode v8.0.0. |
Request Header
Name | Required | Type | Description |
---|---|---|---|
Ocp-Apim-Subscription-Key | True |
string |
Request Body
Name | Required | Type | Description |
---|---|---|---|
documents | True |
Documents to be searched for given question. |
|
question | True |
string |
User question to query against the given documents. |
language |
string |
(Optional) Language of the documents. This is ISO 639-1 representation of a language. For example, use "en" for English; "es" for Spanish etc. If not set, use "en" for English as default. |
Responses
Name | Type | Description |
---|---|---|
200 OK |
Prebuilt GenerateAnswer call response. |
|
Other Status Codes |
Error response. |
Security
Ocp-Apim-Subscription-Key
Type:
apiKey
In:
header
Examples
Successful query
Sample request
POST {Endpoint}/qnamaker/v5.0-preview.2/generateAnswer
{
"question": "qna maker and luis",
"documents": [
{
"text": "Graphics Surprise, surprise -- our 4K Envy 13 came with a discrete graphics card. While the Nvidia GeForce MX250 GPU isn't meant for demanding gaming",
"id": "1"
},
{
"text": "Graphics Surprise, surprise -- our 4K Envy 13 came with a discrete graphics card. While the Nvidia GeForce MX250 GPU isn't meant for demanding gaming",
"id": "2"
}
],
"language": "en"
}
Sample response
{
"answers": [
{
"answer": "Graphics Surprise, surprise -- our 4K Envy 13 came with a discrete graphics card. While the Nvidia GeForce MX250 GPU isn't meant for demanding gaming, it is a step up from integrated graphics as proven by comparing it to the UHD 620 GPU in the FHD model.",
"answerSpan": {
"endIndex": 82,
"startIndex": 60,
"text": "discrete graphics card",
"score": 0
},
"answerEndIndex": 655,
"answerStartIndex": 0,
"id": 1,
"score": 100
}
]
}
Definitions
Name | Description |
---|---|
Answer |
Answer span object of QnA with respect to user's question. |
Error |
The error object. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses. |
Error |
One of a server-defined set of error codes. |
Error |
Error response. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses. |
Generate |
Represents Prebuilt Answer Result. |
Inner |
An object containing more specific information about the error. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses. |
Prebuilt |
POST body schema to query the documents via Prebuilt Question Answering. |
Text |
List of documents to be queried over. |
AnswerSpan
Answer span object of QnA with respect to user's question.
Name | Type | Description |
---|---|---|
endIndex |
integer |
End index of answer span in answer. |
score |
number |
Predicted score of answer span. |
startIndex |
integer |
Start index of answer span in answer. |
text |
string |
Predicted text of answer span. |
Error
The error object. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses.
Name | Type | Description |
---|---|---|
code |
One of a server-defined set of error codes. |
|
details |
Error[] |
An array of details about specific errors that led to this reported error. |
innerError |
An object containing more specific information than the current object about the error. |
|
message |
string |
A human-readable representation of the error. |
target |
string |
The target of the error. |
ErrorCodeType
One of a server-defined set of error codes.
Name | Type | Description |
---|---|---|
BadArgument |
string |
|
EndpointKeysError |
string |
|
ExtractionFailure |
string |
|
Forbidden |
string |
|
KbNotFound |
string |
|
NotFound |
string |
|
OperationNotFound |
string |
|
QnaRuntimeError |
string |
|
QuotaExceeded |
string |
|
SKULimitExceeded |
string |
|
ServiceError |
string |
|
Unauthorized |
string |
|
Unspecified |
string |
|
ValidationFailure |
string |
ErrorResponse
Error response. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses.
Name | Type | Description |
---|---|---|
error |
The error object. |
GenerateAnswerBatchResultItem
Represents Prebuilt Answer Result.
Name | Type | Description |
---|---|---|
answer |
string |
Answer. |
answerEndIndex |
integer |
End index of answer in document text. |
answerSpan |
Answer span object with respect to user's question. |
|
answerStartIndex |
integer |
Start index of answer in document text. |
id |
string |
Document Id. |
score |
number |
Search result score. |
InnerErrorModel
An object containing more specific information about the error. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses.
Name | Type | Description |
---|---|---|
code |
string |
A more specific error code than was provided by the containing error. |
innerError |
An object containing more specific information than the current object about the error. |
PrebuiltQuery
POST body schema to query the documents via Prebuilt Question Answering.
Name | Type | Description |
---|---|---|
documents |
Documents to be searched for given question. |
|
language |
string |
(Optional) Language of the documents. This is ISO 639-1 representation of a language. For example, use "en" for English; "es" for Spanish etc. If not set, use "en" for English as default. |
question |
string |
User question to query against the given documents. |
TextInput
List of documents to be queried over.
Name | Type | Description |
---|---|---|
id |
string |
Unique identifier for the document. |
text |
string |
Text contents of the document |