> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify-poc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# chunking_none()

> Disable chunking for one-to-one embedding relationships

Disable chunking to maintain a one-to-one relationship between source rows and embeddings. This is required when using
column destination, where embeddings are stored directly in the source table.

## When to use

Use `chunking_none()` when:

* Using `destination_column()` (required)
* Source text is already chunked or naturally short (\< 512 tokens)
* You need exactly one embedding per source row

## Samples

### With column destination (required)

```sql theme={"dark"}
SELECT ai.create_vectorizer(
    'products'::regclass,
    destination => ai.destination_column('description_embedding'),
    loading => ai.loading_column('description'),
    embedding => ai.embedding_openai('text-embedding-3-small', 768),
    chunking => ai.chunking_none()  -- Required for column destination
);
```

### With pre-chunked data

```sql theme={"dark"}
SELECT ai.create_vectorizer(
    'pre_chunked_text'::regclass,
    loading => ai.loading_column('chunk'),
    embedding => ai.embedding_openai('text-embedding-3-small', 768),
    chunking => ai.chunking_none()
);
```

## Arguments

This function takes no arguments.

## Returns

A JSON configuration object for use in [`create_vectorizer()`][create_vectorizer].

## Related functions

* [`destination_column()`][destination_column]: requires chunking\_none()
* [`chunking_character_text_splitter()`][chunking_character]: split by character count
* [`chunking_recursive_character_text_splitter()`][chunking_recursive]: recursive splitting

[chunking_character]: /api-reference/pgai/vectorizer/chunking_character_text_splitter

[chunking_recursive]: /api-reference/pgai/vectorizer/chunking_recursive_character_text_splitter

[create_vectorizer]: /api-reference/pgai/vectorizer/create_vectorizer

[destination_column]: /api-reference/pgai/vectorizer/destination_column