Class ChunkingConfiguration
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<ChunkingConfiguration.Builder,ChunkingConfiguration>
Details about how to chunk the documents in the data source. A chunk refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried.
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()final ChunkingStrategyKnowledge base can split your source data into chunks.final StringKnowledge base can split your source data into chunks.final booleanfinal booleanequalsBySdkFields(Object obj) Configurations for when you choose fixed-size chunking.final <T> Optional<T>getValueForField(String fieldName, Class<T> clazz) final inthashCode()Settings for hierarchical document chunking for a data source.Settings for semantic document chunking for a data source.static Class<? extends ChunkingConfiguration.Builder>final StringtoString()Returns a string representation of this object.Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, waitMethods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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chunkingStrategy
Knowledge base can split your source data into chunks. A chunk refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried. You have the following options for chunking your data. If you opt for
NONE, then you may want to pre-process your files by splitting them up such that each file corresponds to a chunk.-
FIXED_SIZE– Amazon Bedrock splits your source data into chunks of the approximate size that you set in thefixedSizeChunkingConfiguration. -
HIERARCHICAL– Split documents into layers of chunks where the first layer contains large chunks, and the second layer contains smaller chunks derived from the first layer. -
SEMANTIC– Split documents into chunks based on groups of similar content derived with natural language processing. -
NONE– Amazon Bedrock treats each file as one chunk. If you choose this option, you may want to pre-process your documents by splitting them into separate files.
If the service returns an enum value that is not available in the current SDK version,
chunkingStrategywill returnChunkingStrategy.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromchunkingStrategyAsString().- Returns:
- Knowledge base can split your source data into chunks. A chunk refers to an excerpt from a data
source that is returned when the knowledge base that it belongs to is queried. You have the following
options for chunking your data. If you opt for
NONE, then you may want to pre-process your files by splitting them up such that each file corresponds to a chunk.-
FIXED_SIZE– Amazon Bedrock splits your source data into chunks of the approximate size that you set in thefixedSizeChunkingConfiguration. -
HIERARCHICAL– Split documents into layers of chunks where the first layer contains large chunks, and the second layer contains smaller chunks derived from the first layer. -
SEMANTIC– Split documents into chunks based on groups of similar content derived with natural language processing. -
NONE– Amazon Bedrock treats each file as one chunk. If you choose this option, you may want to pre-process your documents by splitting them into separate files.
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chunkingStrategyAsString
Knowledge base can split your source data into chunks. A chunk refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried. You have the following options for chunking your data. If you opt for
NONE, then you may want to pre-process your files by splitting them up such that each file corresponds to a chunk.-
FIXED_SIZE– Amazon Bedrock splits your source data into chunks of the approximate size that you set in thefixedSizeChunkingConfiguration. -
HIERARCHICAL– Split documents into layers of chunks where the first layer contains large chunks, and the second layer contains smaller chunks derived from the first layer. -
SEMANTIC– Split documents into chunks based on groups of similar content derived with natural language processing. -
NONE– Amazon Bedrock treats each file as one chunk. If you choose this option, you may want to pre-process your documents by splitting them into separate files.
If the service returns an enum value that is not available in the current SDK version,
chunkingStrategywill returnChunkingStrategy.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromchunkingStrategyAsString().- Returns:
- Knowledge base can split your source data into chunks. A chunk refers to an excerpt from a data
source that is returned when the knowledge base that it belongs to is queried. You have the following
options for chunking your data. If you opt for
NONE, then you may want to pre-process your files by splitting them up such that each file corresponds to a chunk.-
FIXED_SIZE– Amazon Bedrock splits your source data into chunks of the approximate size that you set in thefixedSizeChunkingConfiguration. -
HIERARCHICAL– Split documents into layers of chunks where the first layer contains large chunks, and the second layer contains smaller chunks derived from the first layer. -
SEMANTIC– Split documents into chunks based on groups of similar content derived with natural language processing. -
NONE– Amazon Bedrock treats each file as one chunk. If you choose this option, you may want to pre-process your documents by splitting them into separate files.
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- See Also:
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fixedSizeChunkingConfiguration
Configurations for when you choose fixed-size chunking. If you set the
chunkingStrategyasNONE, exclude this field.- Returns:
- Configurations for when you choose fixed-size chunking. If you set the
chunkingStrategyasNONE, exclude this field.
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hierarchicalChunkingConfiguration
Settings for hierarchical document chunking for a data source. Hierarchical chunking splits documents into layers of chunks where the first layer contains large chunks, and the second layer contains smaller chunks derived from the first layer.
- Returns:
- Settings for hierarchical document chunking for a data source. Hierarchical chunking splits documents into layers of chunks where the first layer contains large chunks, and the second layer contains smaller chunks derived from the first layer.
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semanticChunkingConfiguration
Settings for semantic document chunking for a data source. Semantic chunking splits a document into into smaller documents based on groups of similar content derived from the text with natural language processing.
- Returns:
- Settings for semantic document chunking for a data source. Semantic chunking splits a document into into smaller documents based on groups of similar content derived from the text with natural language processing.
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toBuilder
- Specified by:
toBuilderin interfaceToCopyableBuilder<ChunkingConfiguration.Builder,ChunkingConfiguration>
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builder
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serializableBuilderClass
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hashCode
public final int hashCode() -
equals
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equalsBySdkFields
- Specified by:
equalsBySdkFieldsin interfaceSdkPojo
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toString
Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value. -
getValueForField
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo
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