/AWS1/CL_BDASTORAGECONF¶
Contains the storage configuration of the knowledge base.
CONSTRUCTOR
¶
IMPORTING¶
Required arguments:¶
iv_type
TYPE /AWS1/BDAKNOWLEDGEBASESTRGTYPE
/AWS1/BDAKNOWLEDGEBASESTRGTYPE
¶
The vector store service in which the knowledge base is stored.
Optional arguments:¶
io_opensearchserverlessconf
TYPE REF TO /AWS1/CL_BDAOPENSRCHSERVERLE00
/AWS1/CL_BDAOPENSRCHSERVERLE00
¶
Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.
io_opensrchmanagedclustconf
TYPE REF TO /AWS1/CL_BDAOPENSRCHMANAGEDC00
/AWS1/CL_BDAOPENSRCHMANAGEDC00
¶
Contains details about the storage configuration of the knowledge base in OpenSearch Managed Cluster. For more information, see Create a vector index in Amazon OpenSearch Service.
io_pineconeconfiguration
TYPE REF TO /AWS1/CL_BDAPINECONECONF
/AWS1/CL_BDAPINECONECONF
¶
Contains the storage configuration of the knowledge base in Pinecone.
io_redisenterprisecloudconf
TYPE REF TO /AWS1/CL_BDAREDISENTERPRISEC00
/AWS1/CL_BDAREDISENTERPRISEC00
¶
Contains the storage configuration of the knowledge base in Redis Enterprise Cloud.
io_rdsconfiguration
TYPE REF TO /AWS1/CL_BDARDSCONFIGURATION
/AWS1/CL_BDARDSCONFIGURATION
¶
Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS.
io_mongodbatlasconfiguration
TYPE REF TO /AWS1/CL_BDAMONGODBATLASCONF
/AWS1/CL_BDAMONGODBATLASCONF
¶
Contains the storage configuration of the knowledge base in MongoDB Atlas.
io_neptuneanalyticsconf
TYPE REF TO /AWS1/CL_BDANEPTUNEALYSCONF
/AWS1/CL_BDANEPTUNEALYSCONF
¶
Contains details about the Neptune Analytics configuration of the knowledge base in Amazon Neptune. For more information, see Create a vector index in Amazon Neptune Analytics..
io_s3vectorsconfiguration
TYPE REF TO /AWS1/CL_BDAS3VECTORSCONF
/AWS1/CL_BDAS3VECTORSCONF
¶
The configuration settings for storing knowledge base data using S3 vectors. This includes vector index information and S3 bucket details for vector storage.
Queryable Attributes¶
type¶
The vector store service in which the knowledge base is stored.
Accessible with the following methods¶
Method | Description |
---|---|
GET_TYPE() |
Getter for TYPE, with configurable default |
ASK_TYPE() |
Getter for TYPE w/ exceptions if field has no value |
HAS_TYPE() |
Determine if TYPE has a value |
opensearchServerlessConfiguration¶
Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.
Accessible with the following methods¶
Method | Description |
---|---|
GET_OPENSEARCHSERVERLESSCONF() |
Getter for OPENSEARCHSERVERLESSCONF |
opensearchManagedClusterConfiguration¶
Contains details about the storage configuration of the knowledge base in OpenSearch Managed Cluster. For more information, see Create a vector index in Amazon OpenSearch Service.
Accessible with the following methods¶
Method | Description |
---|---|
GET_OPENSRCHMANAGEDCLUSTCONF() |
Getter for OPENSEARCHMANAGEDCLUSTERCONF |
pineconeConfiguration¶
Contains the storage configuration of the knowledge base in Pinecone.
Accessible with the following methods¶
Method | Description |
---|---|
GET_PINECONECONFIGURATION() |
Getter for PINECONECONFIGURATION |
redisEnterpriseCloudConfiguration¶
Contains the storage configuration of the knowledge base in Redis Enterprise Cloud.
Accessible with the following methods¶
Method | Description |
---|---|
GET_REDISENTERPRISECLOUDCONF() |
Getter for REDISENTERPRISECLOUDCONF |
rdsConfiguration¶
Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS.
Accessible with the following methods¶
Method | Description |
---|---|
GET_RDSCONFIGURATION() |
Getter for RDSCONFIGURATION |
mongoDbAtlasConfiguration¶
Contains the storage configuration of the knowledge base in MongoDB Atlas.
Accessible with the following methods¶
Method | Description |
---|---|
GET_MONGODBATLASCONF() |
Getter for MONGODBATLASCONFIGURATION |
neptuneAnalyticsConfiguration¶
Contains details about the Neptune Analytics configuration of the knowledge base in Amazon Neptune. For more information, see Create a vector index in Amazon Neptune Analytics..
Accessible with the following methods¶
Method | Description |
---|---|
GET_NEPTUNEANALYTICSCONF() |
Getter for NEPTUNEANALYTICSCONF |
s3VectorsConfiguration¶
The configuration settings for storing knowledge base data using S3 vectors. This includes vector index information and S3 bucket details for vector storage.
Accessible with the following methods¶
Method | Description |
---|---|
GET_S3VECTORSCONFIGURATION() |
Getter for S3VECTORSCONFIGURATION |