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[ aws . bedrock-agent-runtime ]
Queries a knowledge base and retrieves information from it.
See also: AWS API Documentation
retrieve
uses document type values. Document types follow the JSON data model where valid values are: strings, numbers, booleans, null, arrays, and objects. For command input, options and nested parameters that are labeled with the type document
must be provided as JSON. Shorthand syntax does not support document types.
retrieve
is a paginated operation. Multiple API calls may be issued in order to retrieve the entire data set of results. You can disable pagination by providing the --no-paginate
argument.
When using --output text
and the --query
argument on a paginated response, the --query
argument must extract data from the results of the following query expressions: retrievalResults
retrieve
[--guardrail-configuration <value>]
--knowledge-base-id <value>
[--retrieval-configuration <value>]
--retrieval-query <value>
[--cli-input-json <value>]
[--starting-token <value>]
[--max-items <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
--guardrail-configuration
(structure)
Guardrail settings.
guardrailId -> (string)
The unique identifier for the guardrail.guardrailVersion -> (string)
The version of the guardrail.
Shorthand Syntax:
guardrailId=string,guardrailVersion=string
JSON Syntax:
{
"guardrailId": "string",
"guardrailVersion": "string"
}
--knowledge-base-id
(string)
The unique identifier of the knowledge base to query.
--retrieval-configuration
(structure)
Contains configurations for the knowledge base query and retrieval process. For more information, see Query configurations .
vectorSearchConfiguration -> (structure)
Contains details about how the results from the vector search should be returned. For more information, see Query configurations .
filter -> (tagged union structure)
Specifies the filters to use on the metadata in the knowledge base data sources before returning results. For more information, see Query configurations .
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:andAll
,equals
,greaterThan
,greaterThanOrEquals
,in
,lessThan
,lessThanOrEquals
,listContains
,notEquals
,notIn
,orAll
,startsWith
,stringContains
.andAll -> (list)
Knowledge base data sources are returned if their metadata attributes fulfill all the filter conditions inside this list.
(tagged union structure)
Specifies the filters to use on the metadata attributes in the knowledge base data sources before returning results. For more information, see Query configurations . See the examples below to see how to use these filters.
This data type is used in the following API operations:
- Retrieve request – in the
filter
field- RetrieveAndGenerate request – in the
filter
fieldNote
This is a Tagged Union structure. Only one of the following top level keys can be set:andAll
,equals
,greaterThan
,greaterThanOrEquals
,in
,lessThan
,lessThanOrEquals
,listContains
,notEquals
,notIn
,orAll
,startsWith
,stringContains
.andAll -> (list)
Knowledge base data sources are returned if their metadata attributes fulfill all the filter conditions inside this list.
( ... recursive ... )
equals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value matches thevalue
in this object.The following example would return data sources with an
animal
attribute whose value iscat
:"equals": { "key": "animal", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.greaterThan -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is greater than thevalue
in this object.The following example would return data sources with an
year
attribute whose value is greater than1989
:"greaterThan": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.greaterThanOrEquals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is greater than or equal to thevalue
in this object.The following example would return data sources with an
year
attribute whose value is greater than or equal to1989
:"greaterThanOrEquals": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.in -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is in the list specified in thevalue
in this object.The following example would return data sources with an
animal
attribute that is eithercat
ordog
:"in": { "key": "animal", "value": ["cat", "dog"] }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.lessThan -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is less than thevalue
in this object.The following example would return data sources with an
year
attribute whose value is less than to1989
."lessThan": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.lessThanOrEquals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is less than or equal to thevalue
in this object.The following example would return data sources with an
year
attribute whose value is less than or equal to1989
."lessThanOrEquals": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.listContains -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is a list that contains thevalue
as one of its members.The following example would return data sources with an
animals
attribute that is a list containing acat
member (for example["dog", "cat"]
)."listContains": { "key": "animals", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.notEquals -> (structure)
Knowledge base data sources that contain a metadata attribute whose name matches the
key
and whose value doesn't match thevalue
in this object are returned.The following example would return data sources that don't contain an
animal
attribute whose value iscat
."notEquals": { "key": "animal", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.notIn -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value isn't in the list specified in thevalue
in this object.The following example would return data sources whose
animal
attribute is neithercat
nordog
."notIn": { "key": "animal", "value": ["cat", "dog"] }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.orAll -> (list)
Knowledge base data sources are returned if their metadata attributes fulfill at least one of the filter conditions inside this list.
( ... recursive ... )
startsWith -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value starts with thevalue
in this object. This filter is currently only supported for Amazon OpenSearch Serverless vector stores.The following example would return data sources with an
animal
attribute starts withca
(for example,cat
orcamel
)."startsWith": { "key": "animal", "value": "ca" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.stringContains -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is one of the following:
- A string that contains the
value
as a substring. The following example would return data sources with ananimal
attribute that contains the substringat
(for examplecat
)."stringContains": { "key": "animal", "value": "at" }
- A list with a member that contains the
value
as a substring. The following example would return data sources with ananimals
attribute that is a list containing a member that contains the substringat
(for example["dog", "cat"]
)."stringContains": { "key": "animals", "value": "at" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.equals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value matches thevalue
in this object.The following example would return data sources with an
animal
attribute whose value iscat
:"equals": { "key": "animal", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.greaterThan -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is greater than thevalue
in this object.The following example would return data sources with an
year
attribute whose value is greater than1989
:"greaterThan": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.greaterThanOrEquals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is greater than or equal to thevalue
in this object.The following example would return data sources with an
year
attribute whose value is greater than or equal to1989
:"greaterThanOrEquals": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.in -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is in the list specified in thevalue
in this object.The following example would return data sources with an
animal
attribute that is eithercat
ordog
:"in": { "key": "animal", "value": ["cat", "dog"] }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.lessThan -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is less than thevalue
in this object.The following example would return data sources with an
year
attribute whose value is less than to1989
."lessThan": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.lessThanOrEquals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is less than or equal to thevalue
in this object.The following example would return data sources with an
year
attribute whose value is less than or equal to1989
."lessThanOrEquals": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.listContains -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is a list that contains thevalue
as one of its members.The following example would return data sources with an
animals
attribute that is a list containing acat
member (for example["dog", "cat"]
)."listContains": { "key": "animals", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.notEquals -> (structure)
Knowledge base data sources that contain a metadata attribute whose name matches the
key
and whose value doesn't match thevalue
in this object are returned.The following example would return data sources that don't contain an
animal
attribute whose value iscat
."notEquals": { "key": "animal", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.notIn -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value isn't in the list specified in thevalue
in this object.The following example would return data sources whose
animal
attribute is neithercat
nordog
."notIn": { "key": "animal", "value": ["cat", "dog"] }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.orAll -> (list)
Knowledge base data sources are returned if their metadata attributes fulfill at least one of the filter conditions inside this list.
(tagged union structure)
Specifies the filters to use on the metadata attributes in the knowledge base data sources before returning results. For more information, see Query configurations . See the examples below to see how to use these filters.
This data type is used in the following API operations:
- Retrieve request – in the
filter
field- RetrieveAndGenerate request – in the
filter
fieldNote
This is a Tagged Union structure. Only one of the following top level keys can be set:andAll
,equals
,greaterThan
,greaterThanOrEquals
,in
,lessThan
,lessThanOrEquals
,listContains
,notEquals
,notIn
,orAll
,startsWith
,stringContains
.andAll -> (list)
Knowledge base data sources are returned if their metadata attributes fulfill all the filter conditions inside this list.
( ... recursive ... )
equals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value matches thevalue
in this object.The following example would return data sources with an
animal
attribute whose value iscat
:"equals": { "key": "animal", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.greaterThan -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is greater than thevalue
in this object.The following example would return data sources with an
year
attribute whose value is greater than1989
:"greaterThan": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.greaterThanOrEquals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is greater than or equal to thevalue
in this object.The following example would return data sources with an
year
attribute whose value is greater than or equal to1989
:"greaterThanOrEquals": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.in -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is in the list specified in thevalue
in this object.The following example would return data sources with an
animal
attribute that is eithercat
ordog
:"in": { "key": "animal", "value": ["cat", "dog"] }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.lessThan -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is less than thevalue
in this object.The following example would return data sources with an
year
attribute whose value is less than to1989
."lessThan": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.lessThanOrEquals -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is less than or equal to thevalue
in this object.The following example would return data sources with an
year
attribute whose value is less than or equal to1989
."lessThanOrEquals": { "key": "year", "value": 1989 }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.listContains -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is a list that contains thevalue
as one of its members.The following example would return data sources with an
animals
attribute that is a list containing acat
member (for example["dog", "cat"]
)."listContains": { "key": "animals", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.notEquals -> (structure)
Knowledge base data sources that contain a metadata attribute whose name matches the
key
and whose value doesn't match thevalue
in this object are returned.The following example would return data sources that don't contain an
animal
attribute whose value iscat
."notEquals": { "key": "animal", "value": "cat" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.notIn -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value isn't in the list specified in thevalue
in this object.The following example would return data sources whose
animal
attribute is neithercat
nordog
."notIn": { "key": "animal", "value": ["cat", "dog"] }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.orAll -> (list)
Knowledge base data sources are returned if their metadata attributes fulfill at least one of the filter conditions inside this list.
( ... recursive ... )
startsWith -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value starts with thevalue
in this object. This filter is currently only supported for Amazon OpenSearch Serverless vector stores.The following example would return data sources with an
animal
attribute starts withca
(for example,cat
orcamel
)."startsWith": { "key": "animal", "value": "ca" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.stringContains -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is one of the following:
- A string that contains the
value
as a substring. The following example would return data sources with ananimal
attribute that contains the substringat
(for examplecat
)."stringContains": { "key": "animal", "value": "at" }
- A list with a member that contains the
value
as a substring. The following example would return data sources with ananimals
attribute that is a list containing a member that contains the substringat
(for example["dog", "cat"]
)."stringContains": { "key": "animals", "value": "at" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.startsWith -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value starts with thevalue
in this object. This filter is currently only supported for Amazon OpenSearch Serverless vector stores.The following example would return data sources with an
animal
attribute starts withca
(for example,cat
orcamel
)."startsWith": { "key": "animal", "value": "ca" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.stringContains -> (structure)
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
key
and whose value is one of the following:
- A string that contains the
value
as a substring. The following example would return data sources with ananimal
attribute that contains the substringat
(for examplecat
)."stringContains": { "key": "animal", "value": "at" }
- A list with a member that contains the
value
as a substring. The following example would return data sources with ananimals
attribute that is a list containing a member that contains the substringat
(for example["dog", "cat"]
)."stringContains": { "key": "animals", "value": "at" }
key -> (string)
The name that the metadata attribute must match.value -> (document)
The value to whcih to compare the value of the metadata attribute.implicitFilterConfiguration -> (structure)
Settings for implicit filtering.
metadataAttributes -> (list)
Metadata that can be used in a filter.
(structure)
Details about a metadata attribute.
description -> (string)
The attribute's description.key -> (string)
The attribute's key.type -> (string)
The attribute's type.modelArn -> (string)
The model that generates the filter.numberOfResults -> (integer)
The number of source chunks to retrieve.overrideSearchType -> (string)
By default, Amazon Bedrock decides a search strategy for you. If you're using an Amazon OpenSearch Serverless vector store that contains a filterable text field, you can specify whether to query the knowledge base with aHYBRID
search using both vector embeddings and raw text, orSEMANTIC
search using only vector embeddings. For other vector store configurations, onlySEMANTIC
search is available. For more information, see Test a knowledge base .rerankingConfiguration -> (structure)
Contains configurations for reranking the retrieved results. For more information, see Improve the relevance of query responses with a reranker model .
bedrockRerankingConfiguration -> (structure)
Contains configurations for an Amazon Bedrock reranker model.
metadataConfiguration -> (structure)
Contains configurations for the metadata to use in reranking.
selectionMode -> (string)
Specifies whether to consider all metadata when reranking, or only the metadata that you select. If you specifySELECTIVE
, include theselectiveModeConfiguration
field.selectiveModeConfiguration -> (tagged union structure)
Contains configurations for the metadata fields to include or exclude when considering reranking.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:fieldsToExclude
,fieldsToInclude
.fieldsToExclude -> (list)
An array of objects, each of which specifies a metadata field to exclude from consideration when reranking.
(structure)
Contains information for a metadata field to include in or exclude from consideration when reranking.
fieldName -> (string)
The name of a metadata field to include in or exclude from consideration when reranking.fieldsToInclude -> (list)
An array of objects, each of which specifies a metadata field to include in consideration when reranking. The remaining metadata fields are ignored.
(structure)
Contains information for a metadata field to include in or exclude from consideration when reranking.
fieldName -> (string)
The name of a metadata field to include in or exclude from consideration when reranking.modelConfiguration -> (structure)
Contains configurations for the reranker model.
additionalModelRequestFields -> (map)
A JSON object whose keys are request fields for the model and whose values are values for those fields.
key -> (string)
value -> (document)
modelArn -> (string)
The ARN of the reranker model to use.numberOfRerankedResults -> (integer)
The number of results to return after reranking.type -> (string)
The type of reranker model.
JSON Syntax:
{
"vectorSearchConfiguration": {
"filter": {
"andAll": [
{
"andAll": [
{ ... recursive ... }
...
],
"equals": {
"key": "string",
"value": {...}
},
"greaterThan": {
"key": "string",
"value": {...}
},
"greaterThanOrEquals": {
"key": "string",
"value": {...}
},
"in": {
"key": "string",
"value": {...}
},
"lessThan": {
"key": "string",
"value": {...}
},
"lessThanOrEquals": {
"key": "string",
"value": {...}
},
"listContains": {
"key": "string",
"value": {...}
},
"notEquals": {
"key": "string",
"value": {...}
},
"notIn": {
"key": "string",
"value": {...}
},
"orAll": [
{ ... recursive ... }
...
],
"startsWith": {
"key": "string",
"value": {...}
},
"stringContains": {
"key": "string",
"value": {...}
}
}
...
],
"equals": {
"key": "string",
"value": {...}
},
"greaterThan": {
"key": "string",
"value": {...}
},
"greaterThanOrEquals": {
"key": "string",
"value": {...}
},
"in": {
"key": "string",
"value": {...}
},
"lessThan": {
"key": "string",
"value": {...}
},
"lessThanOrEquals": {
"key": "string",
"value": {...}
},
"listContains": {
"key": "string",
"value": {...}
},
"notEquals": {
"key": "string",
"value": {...}
},
"notIn": {
"key": "string",
"value": {...}
},
"orAll": [
{
"andAll": [
{ ... recursive ... }
...
],
"equals": {
"key": "string",
"value": {...}
},
"greaterThan": {
"key": "string",
"value": {...}
},
"greaterThanOrEquals": {
"key": "string",
"value": {...}
},
"in": {
"key": "string",
"value": {...}
},
"lessThan": {
"key": "string",
"value": {...}
},
"lessThanOrEquals": {
"key": "string",
"value": {...}
},
"listContains": {
"key": "string",
"value": {...}
},
"notEquals": {
"key": "string",
"value": {...}
},
"notIn": {
"key": "string",
"value": {...}
},
"orAll": [
{ ... recursive ... }
...
],
"startsWith": {
"key": "string",
"value": {...}
},
"stringContains": {
"key": "string",
"value": {...}
}
}
...
],
"startsWith": {
"key": "string",
"value": {...}
},
"stringContains": {
"key": "string",
"value": {...}
}
},
"implicitFilterConfiguration": {
"metadataAttributes": [
{
"description": "string",
"key": "string",
"type": "STRING"|"NUMBER"|"BOOLEAN"|"STRING_LIST"
}
...
],
"modelArn": "string"
},
"numberOfResults": integer,
"overrideSearchType": "HYBRID"|"SEMANTIC",
"rerankingConfiguration": {
"bedrockRerankingConfiguration": {
"metadataConfiguration": {
"selectionMode": "SELECTIVE"|"ALL",
"selectiveModeConfiguration": {
"fieldsToExclude": [
{
"fieldName": "string"
}
...
],
"fieldsToInclude": [
{
"fieldName": "string"
}
...
]
}
},
"modelConfiguration": {
"additionalModelRequestFields": {"string": {...}
...},
"modelArn": "string"
},
"numberOfRerankedResults": integer
},
"type": "BEDROCK_RERANKING_MODEL"
}
}
}
--retrieval-query
(structure)
Contains the query to send the knowledge base.
text -> (string)
The text of the query made to the knowledge base.
Shorthand Syntax:
text=string
JSON Syntax:
{
"text": "string"
}
--cli-input-json
(string)
Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.
--starting-token
(string)
A token to specify where to start paginating. This is the
NextToken
from a previously truncated response.For usage examples, see Pagination in the AWS Command Line Interface User Guide .
--max-items
(integer)
The total number of items to return in the command's output. If the total number of items available is more than the value specified, a
NextToken
is provided in the command's output. To resume pagination, provide theNextToken
value in thestarting-token
argument of a subsequent command. Do not use theNextToken
response element directly outside of the AWS CLI.For usage examples, see Pagination in the AWS Command Line Interface User Guide .
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command's default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output
(string)
The formatting style for command output.
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
guardrailAction -> (string)
Specifies if there is a guardrail intervention in the response.
nextToken -> (string)
If there are more results than can fit in the response, the response returns anextToken
. Use this token in thenextToken
field of another request to retrieve the next batch of results.
retrievalResults -> (list)
A list of results from querying the knowledge base.
(structure)
Details about a result from querying the knowledge base.
This data type is used in the following API operations:
- Retrieve response – in the
retrievalResults
fieldcontent -> (structure)
Contains information about the content of the chunk.
byteContent -> (string)
A data URI with base64-encoded content from the data source. The URI is in the following format: returned in the following format:data:image/jpeg;base64,${base64-encoded string}
.row -> (list)
Specifies information about the rows with the cells to return in retrieval.
(structure)
Contains information about a column with a cell to return in retrieval.
columnName -> (string)
The name of the column.columnValue -> (string)
The value in the column.type -> (string)
The data type of the value.text -> (string)
The cited text from the data source.type -> (string)
The type of content in the retrieval result.location -> (structure)
Contains information about the location of the data source.
confluenceLocation -> (structure)
The Confluence data source location.
url -> (string)
The Confluence host URL for the data source location.customDocumentLocation -> (structure)
Specifies the location of a document in a custom data source.
id -> (string)
The ID of the document.kendraDocumentLocation -> (structure)
The location of a document in Amazon Kendra.
uri -> (string)
The document's uri.s3Location -> (structure)
The S3 data source location.
uri -> (string)
The S3 URI for the data source location.salesforceLocation -> (structure)
The Salesforce data source location.
url -> (string)
The Salesforce host URL for the data source location.sharePointLocation -> (structure)
The SharePoint data source location.
url -> (string)
The SharePoint site URL for the data source location.sqlLocation -> (structure)
Specifies information about the SQL query used to retrieve the result.
query -> (string)
The SQL query used to retrieve the result.type -> (string)
The type of data source location.webLocation -> (structure)
The web URL/URLs data source location.
url -> (string)
The web URL/URLs for the data source location.metadata -> (map)
Contains metadata attributes and their values for the file in the data source. For more information, see Metadata and filtering .
key -> (string)
value -> (document)
score -> (double)
The level of relevance of the result to the query.