Split text

Split text into chunks.

Example
The example above illustrates a Flow that stores a document in SQL Server. It uses the Split text action to divide a large document into smaller chunks. Then, for each chunk, an embedding is generated, and the text chunk along with its corresponding embedding is stored in SQL Server as a vector record.

Properties

Name	Type	Description
Title	Optional	The name of the action or operation.
Input text	Required	The text to split into chunks.
Splitter type	Required	Read documentation below.
Text chunk variable name	Optional	The variable name used to store the output chunks.
Description	Optional	A field to describe the action or its purpose.

Splitter type

Required. Allows selection of a splitting type (algorithm). Based on the selected type, a number of additional properties will be shown.

Recursive character text splitter:

Splits text by characters into chunks of a specified size, optionally allowing overlap for better context retention.

Additional properties

Name	Type	Description
Chunk size	Required	Maximum number of characters in each chunk.
Chunk overlap	Optional	Number of overlapping characters between chunks.

Token text spiltter:

Divides text based on token count using a chosen encoding, useful for models with token limits.

Additional properties

Name	Type	Description
Encoder name	Required	The name of the token encoding to be used.
Max tokens	Required	The maximum number of tokens per chunk.
Chunk overlap	Optional	Number of overlapping tokens between chunks.

Markdown header text splitter:

Breaks down documents at specific Markdown headers, ideal for structured texts like articles or reports.

Additional properties

Name	Type	Description
Headers to split on	Optional	Comma-separated list of Markdown headers to use as split points.
Include headers in output	Optional	If enabled, includes the header text in each chunk.

Returns

Split text returns string textChunk.