pulumi-aws-native-kotlin/com.pulumi.awsnative.bedrock.kotlin.inputs/DataSourceChunkingConfigurationArgsBuilder/chunkingStrategy

chunkingStrategy

@JvmName(name = "yexbnmidnbdtvjsh")

suspend fun chunkingStrategy(value: Output<DataSourceChunkingStrategy>)

@JvmName(name = "hxxeuoroqcpkwjct")

suspend fun chunkingStrategy(value: DataSourceChunkingStrategy)

Parameters

value

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.