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ParsingConfiguration - Amazon Bedrock

ParsingConfiguration

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.

Note

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.

Contents

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.

Type: String

Valid Values: BEDROCK_FOUNDATION_MODEL | BEDROCK_DATA_AUTOMATION | SMART_PARSING | MULTI_MODAL_EMBEDDINGS

Required: Yes

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.

Type: BedrockDataAutomationConfiguration object

Required: No

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.

Type: BedrockFoundationModelConfiguration object

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: