java.lang.Object
- software.amazon.awssdk.services.bedrockagent.model.ChunkingConfiguration

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<ChunkingConfiguration.Builder,ChunkingConfiguration>
```
@Generated("software.amazon.awssdk:codegen")
public final class ChunkingConfiguration
extends Object
implements SdkPojo, Serializable, 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.

See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface ChunkingConfiguration.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static ChunkingConfiguration.Builder`	`builder()`
`ChunkingStrategy`	`chunkingStrategy()`	Knowledge base can split your source data into chunks.
`String`	`chunkingStrategyAsString()`	Knowledge base can split your source data into chunks.
`boolean`	`equals(Object obj)`
`boolean`	`equalsBySdkFields(Object obj)`
`FixedSizeChunkingConfiguration`	`fixedSizeChunkingConfiguration()`	Configurations for when you choose fixed-size chunking.
`<T> Optional<T>`	`getValueForField(String fieldName, Class<T> clazz)`
`int`	`hashCode()`
`HierarchicalChunkingConfiguration`	`hierarchicalChunkingConfiguration()`	Settings for hierarchical document chunking for a data source.
`List<SdkField<?>>`	`sdkFields()`
`SemanticChunkingConfiguration`	`semanticChunkingConfiguration()`	Settings for semantic document chunking for a data source.
`static Class<? extends ChunkingConfiguration.Builder>`	`serializableBuilderClass()`
`ChunkingConfiguration.Builder`	`toBuilder()`
`String`	`toString()`	Returns a string representation of this object.

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy

- Method Detail
  - chunkingStrategy
```
public final ChunkingStrategy 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 the fixedSizeChunkingConfiguration.
    
    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, chunkingStrategy will return ChunkingStrategy.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from chunkingStrategyAsString().
    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 the fixedSizeChunkingConfiguration.
    
    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.
    
    See Also:
    
    ChunkingStrategy
  - chunkingStrategyAsString
```
public final String 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 the fixedSizeChunkingConfiguration.
    
    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, chunkingStrategy will return ChunkingStrategy.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from chunkingStrategyAsString().
    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 the fixedSizeChunkingConfiguration.
    
    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.
    
    See Also:
    
    ChunkingStrategy
  - fixedSizeChunkingConfiguration
```
public final FixedSizeChunkingConfiguration fixedSizeChunkingConfiguration()
```
    Configurations for when you choose fixed-size chunking. If you set the chunkingStrategy as NONE, exclude this field.
    
    Returns:
    
    Configurations for when you choose fixed-size chunking. If you set the chunkingStrategy as NONE, exclude this field.
  - hierarchicalChunkingConfiguration
```
public final HierarchicalChunkingConfiguration 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.
  - semanticChunkingConfiguration
```
public final SemanticChunkingConfiguration 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.
  - toBuilder
```
public ChunkingConfiguration.Builder toBuilder()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<ChunkingConfiguration.Builder,ChunkingConfiguration>
  - builder
```
public static ChunkingConfiguration.Builder builder()
```
  - serializableBuilderClass
```
public static Class<? extends ChunkingConfiguration.Builder> serializableBuilderClass()
```
  - hashCode
```
public final int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public final boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - equalsBySdkFields
```
public final boolean equalsBySdkFields(Object obj)
```
    Specified by:
    
    equalsBySdkFields in interface SdkPojo
  - toString
```
public final String 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.
    
    Overrides:
    
    toString in class Object
  - getValueForField
```
public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)
```
  - sdkFields
```
public final List<SdkField<?>> sdkFields()
```
    Specified by:
    
    sdkFields in interface SdkPojo

Class ChunkingConfiguration

Nested Class Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

Method Detail

chunkingStrategy

chunkingStrategyAsString

fixedSizeChunkingConfiguration

hierarchicalChunkingConfiguration

semanticChunkingConfiguration

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields