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/AWS1/CL_BDAPARSINGCONF

Settings for parsing document contents. If you exclude this field, the default parser converts the contents of each document into text before splitting it into chunks. Specify the parsing strategy to use in the parsingStrategy field and include the relevant configuration, or omit it to use the Amazon Bedrock default parser. For more information, see Parsing options for your data source.

If you specify BEDROCK_DATA_AUTOMATION or BEDROCK_FOUNDATION_MODEL and it fails to parse a file, the Amazon Bedrock default parser will be used instead.

CONSTRUCTOR

IMPORTING

Required arguments:

iv_parsingstrategy TYPE /AWS1/BDAPARSINGSTRATEGY /AWS1/BDAPARSINGSTRATEGY

The parsing strategy for the data source.

For managed knowledge bases, the strategy that you can select depends on the embedding model that your knowledge base uses:

  • If your knowledge base uses a native multimodal embedding model, specify MULTI_MODAL_EMBEDDINGS. With this strategy, files are sent directly to the embedding model instead of being parsed into text. This is the only strategy that is supported for these knowledge bases.

  • Otherwise, specify SMART_PARSING.

For more information, see Customize ingestion for managed knowledge bases.

Optional arguments:

io_bedrockfndationmodelconf TYPE REF TO /AWS1/CL_BDABEDROCKFNDATIONM00 /AWS1/CL_BDABEDROCKFNDATIONM00

If you specify BEDROCK_FOUNDATION_MODEL as the parsing strategy for ingesting your data source, use this object to modify configurations for using a foundation model to parse documents.

io_bedrockdataautomationconf TYPE REF TO /AWS1/CL_BDABEDROCKDATAAUTOM00 /AWS1/CL_BDABEDROCKDATAAUTOM00

If you specify BEDROCK_DATA_AUTOMATION as the parsing strategy for ingesting your data source, use this object to modify configurations for using the Amazon Bedrock Data Automation parser.

Queryable Attributes

parsingStrategy

The parsing strategy for the data source.

For managed knowledge bases, the strategy that you can select depends on the embedding model that your knowledge base uses:

  • If your knowledge base uses a native multimodal embedding model, specify MULTI_MODAL_EMBEDDINGS. With this strategy, files are sent directly to the embedding model instead of being parsed into text. This is the only strategy that is supported for these knowledge bases.

  • Otherwise, specify SMART_PARSING.

For more information, see Customize ingestion for managed knowledge bases.

Accessible with the following methods

Method Description
GET_PARSINGSTRATEGY() Getter for PARSINGSTRATEGY, with configurable default
ASK_PARSINGSTRATEGY() Getter for PARSINGSTRATEGY w/ exceptions if field has no val
HAS_PARSINGSTRATEGY() Determine if PARSINGSTRATEGY has a value

bedrockFoundationModelConfiguration

If you specify BEDROCK_FOUNDATION_MODEL as the parsing strategy for ingesting your data source, use this object to modify configurations for using a foundation model to parse documents.

Accessible with the following methods

Method Description
GET_BEDROCKFNDATIONMODELCONF() Getter for BEDROCKFOUNDATIONMODELCONF

bedrockDataAutomationConfiguration

If you specify BEDROCK_DATA_AUTOMATION as the parsing strategy for ingesting your data source, use this object to modify configurations for using the Amazon Bedrock Data Automation parser.

Accessible with the following methods

Method Description
GET_BEDROCKDATAAUTOMATIONC00() Getter for BEDROCKDATAAUTOMATIONCONF