| Column Name | Column Data Type |
knowledge_base_id Required Input Column
The unique identifier of the knowledge base to query. | VARCHAR |
retrieval_query Required Input Column
Contains the query to send the knowledge base. | STRUCT( "text" VARCHAR ) |
Show child fields- retrieval_query.text
The text of the query made to the knowledge base.
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retrieval_configuration Input Column
Contains configurations for the knowledge base query and retrieval process. For more information, see Query configurations. | STRUCT( "vector_search_configuration" STRUCT( "filter" STRUCT( "equals" STRUCT( "key" VARCHAR, "value" VARCHAR ), "greater_than" STRUCT( "key" VARCHAR, "value" VARCHAR ), "greater_than_or_equals" STRUCT( "key" VARCHAR, "value" VARCHAR ), "in" STRUCT( "key" VARCHAR, "value" VARCHAR ), "less_than" STRUCT( "key" VARCHAR, "value" VARCHAR ), "less_than_or_equals" STRUCT( "key" VARCHAR, "value" VARCHAR ), "list_contains" STRUCT( "key" VARCHAR, "value" VARCHAR ), "not_equals" STRUCT( "key" VARCHAR, "value" VARCHAR ), "not_in" STRUCT( "key" VARCHAR, "value" VARCHAR ), "starts_with" STRUCT( "key" VARCHAR, "value" VARCHAR ), "string_contains" STRUCT( "key" VARCHAR, "value" VARCHAR ) ), "number_of_results" BIGINT, "override_search_type" VARCHAR ) ) |
Show child fields- retrieval_configuration.vector_search_configuration
Contains details about how the results from the vector search should be returned. For more information, see Query configurations. Show child fields- retrieval_configuration.vector_search_configuration.filter
Specifies the filters to use on the metadata in the knowledge base data sources before returning results. For more information, see Query configurations. Show child fields- retrieval_configuration.vector_search_configuration.filter.equals
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value matches the value in this object. The following example would return data sources with an animal attribute whose value is cat: "equals": { "key": "animal", "value": "cat" } Show child fields- retrieval_configuration.vector_search_configuration.filter.equals.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.equals.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.greater_than
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is greater than the value in this object. The following example would return data sources with an year attribute whose value is greater than 1989: "greaterThan": { "key": "year", "value": 1989 } Show child fields- retrieval_configuration.vector_search_configuration.filter.greater_than.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.greater_than.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.greater_than_or_equals
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 the value in this object. The following example would return data sources with an year attribute whose value is greater than or equal to 1989: "greaterThanOrEquals": { "key": "year", "value": 1989 } Show child fields- retrieval_configuration.vector_search_configuration.filter.greater_than_or_equals.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.greater_than_or_equals.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.in
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 the value in this object. The following example would return data sources with an animal attribute that is either cat or dog: "in": { "key": "animal", "value": ["cat", "dog"] } Show child fields- retrieval_configuration.vector_search_configuration.filter.in.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.in.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.less_than
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value is less than the value in this object. The following example would return data sources with an year attribute whose value is less than to 1989. "lessThan": { "key": "year", "value": 1989 } Show child fields- retrieval_configuration.vector_search_configuration.filter.less_than.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.less_than.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.less_than_or_equals
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 the value in this object. The following example would return data sources with an year attribute whose value is less than or equal to 1989. "lessThanOrEquals": { "key": "year", "value": 1989 } Show child fields- retrieval_configuration.vector_search_configuration.filter.less_than_or_equals.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.less_than_or_equals.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.list_contains
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 the value as one of its members. The following example would return data sources with an animals attribute that is a list containing a cat member (for example ["dog", "cat"]). "listContains": { "key": "animals", "value": "cat" } Show child fields- retrieval_configuration.vector_search_configuration.filter.list_contains.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.list_contains.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.not_equals
Knowledge base data sources that contain a metadata attribute whose name matches the key and whose value doesn't match the value in this object are returned. The following example would return data sources that don't contain an animal attribute whose value is cat. "notEquals": { "key": "animal", "value": "cat" } Show child fields- retrieval_configuration.vector_search_configuration.filter.not_equals.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.not_equals.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.not_in
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 the value in this object. The following example would return data sources whose animal attribute is neither cat nor dog. "notIn": { "key": "animal", "value": ["cat", "dog"] } Show child fields- retrieval_configuration.vector_search_configuration.filter.not_in.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.not_in.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.starts_with
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the key and whose value starts with the value 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 with ca (for example, cat or camel). "startsWith": { "key": "animal", "value": "ca" } Show child fields- retrieval_configuration.vector_search_configuration.filter.starts_with.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.starts_with.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.filter.string_contains
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 an animal attribute that contains the substring at (for example cat). "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 an animals attribute that is a list containing a member that contains the substring at (for example ["dog", "cat"]). "stringContains": { "key": "animals", "value": "at" } Show child fields- retrieval_configuration.vector_search_configuration.filter.string_contains.key
The name that the metadata attribute must match.
- retrieval_configuration.vector_search_configuration.filter.string_contains.value
The value to whcih to compare the value of the metadata attribute.
- retrieval_configuration.vector_search_configuration.number_of_results
The number of source chunks to retrieve.
- retrieval_configuration.vector_search_configuration.override_search_type
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 a HYBRID search using both vector embeddings and raw text, or SEMANTIC search using only vector embeddings. For other vector store configurations, only SEMANTIC search is available. For more information, see Test a knowledge base.
|
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT( "type" VARCHAR, "name" VARCHAR, "account_id" VARCHAR, "via_profile_name" VARCHAR, "assumed_role_arn" VARCHAR, "organization" STRUCT( "account_name" VARCHAR, "id" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[], "master_account" STRUCT( "id" VARCHAR, "email" VARCHAR ), "parents" STRUCT( "type" VARCHAR, "id" VARCHAR, "name" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[] )[] ) ) |
Show child fields- _aws_profile.account_id
The AWS account id
- _aws_profile.assumed_role_arn
The ARN of the assumed role
- _aws_profile.name
The unique name of the profile.
- _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization
- _aws_profile.organization.id
The organization id
- _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address
- _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent
- _aws_profile.organization.parents[].name
The name of the parent
- _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role'
- _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
content
Contains a chunk of text from a data source in the knowledge base. | STRUCT( "text" VARCHAR ) |
Show child fields- content.text
The cited text from the data source.
|
location
Contains information about the location of the data source. | STRUCT( "confluence_location" STRUCT( "url" VARCHAR ), "s3_location" STRUCT( "uri" VARCHAR ), "salesforce_location" STRUCT( "url" VARCHAR ), "share_point_location" STRUCT( "url" VARCHAR ), "type" VARCHAR, "web_location" STRUCT( "url" VARCHAR ) ) |
Show child fields- location.confluence_location
The Confluence data source location. Show child fields- location.confluence_location.url
The Confluence host URL for the data source location.
- location.s3_location
The S3 data source location. Show child fields- location.s3_location.uri
The S3 URI for the data source location.
- location.salesforce_location
The Salesforce data source location. Show child fields- location.salesforce_location.url
The Salesforce host URL for the data source location.
- location.share_point_location
The SharePoint data source location. Show child fields- location.share_point_location.url
The SharePoint site URL for the data source location.
- location.type
The type of data source location.
- location.web_location
The web URL/URLs data source location. Show child fields- location.web_location.url
The web URL/URLs for the data source location.
|
metadata
Contains metadata attributes and their values for the file in the data source. For more information, see Metadata and filtering. | MAP(VARCHAR, VARCHAR) |
score
The level of relevance of the result to the query. | DOUBLE |