/AWS1/CL_BDABEDROCKFNDATIONM01¶
Context enrichment configuration is used to provide additional context to the RAG application using Amazon Bedrock foundation models.
CONSTRUCTOR¶
IMPORTING¶
Required arguments:¶
io_enrichmentstrategyconf TYPE REF TO /AWS1/CL_BDAENRICHMENTSTGYCONF /AWS1/CL_BDAENRICHMENTSTGYCONF¶
The enrichment stategy used to provide additional context. For example, Neptune GraphRAG uses Amazon Bedrock foundation models to perform chunk entity extraction.
iv_modelarn TYPE /AWS1/BDABEDROCKMODELARN /AWS1/BDABEDROCKMODELARN¶
The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base.
Queryable Attributes¶
enrichmentStrategyConfiguration¶
The enrichment stategy used to provide additional context. For example, Neptune GraphRAG uses Amazon Bedrock foundation models to perform chunk entity extraction.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_ENRICHMENTSTRATEGYCONF() |
Getter for ENRICHMENTSTRATEGYCONF |
modelArn¶
The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MODELARN() |
Getter for MODELARN, with configurable default |
ASK_MODELARN() |
Getter for MODELARN w/ exceptions if field has no value |
HAS_MODELARN() |
Determine if MODELARN has a value |