> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pixeltable.com/llms.txt
> Use this file to discover all available pages before exploring further.

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  ## Submitting Feedback
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# ollama

> <a href="https://github.com/pixeltable/pixeltable/blob/main/pixeltable/functions/ollama.py#L0" id="viewSource" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/View%20Source%20on%20Github-blue?logo=github&labelColor=gray" alt="View Source on GitHub" style={{ display: 'inline', margin: '0px' }} noZoom /></a>

# <span style={{ 'color': 'gray' }}>module</span>  pixeltable.functions.ollama

Pixeltable UDFs for Ollama local models.

Provides integration with Ollama for running large language models locally,
including chat completions and embeddings.

## <span style={{ 'color': 'gray' }}>udf</span>  chat()

```python Signature theme={null}
@pxt.udf
chat(messages: pxt.Json[(Json, *, model: pxt.String, tools: pxt.Json[(Json = None, format: pxt.String | None = None, options: pxt.Json | None = None) -> pxt.Json
```

Generate the next message in a chat with a provided model.

**Parameters:**

* **`messages`** (`pxt.Json[(Json`): The messages of the chat.
* **`model`** (`Any`): The model name.
* **`tools`** (`Any`): Tools for the model to use.
* **`format`** (`Any`): The format of the response; must be one of `'json'` or `None`.
* **`options`** (`Any`): Additional options to pass to the `chat` call, such as `max_tokens`, `temperature`, `top_p`, and
  `top_k`. For details, see the
  [Valid Parameters and Values](https://github.com/ollama/ollama/blob/main/docs/modelfile.mdx#valid-parameters-and-values)
  section of the Ollama documentation.

## <span style={{ 'color': 'gray' }}>udf</span>  embed()

```python Signature theme={null}
@pxt.udf
embed(
    input: pxt.String,
    *,
    model: pxt.String,
    truncate: pxt.Bool = True,
    options: pxt.Json | None = None
) -> pxt.Array[(None,), float32]
```

Generate embeddings from a model.

**Parameters:**

* **`input`** (`pxt.String`): The input text to generate embeddings for.
* **`model`** (`pxt.String`): The model name.
* **`truncate`** (`pxt.Bool`): Truncates the end of each input to fit within context length.
  Returns error if false and context length is exceeded.
* **`options`** (`pxt.Json | None`): Additional options to pass to the `embed` call.
  For details, see the
  [Valid Parameters and Values](https://github.com/ollama/ollama/blob/main/docs/modelfile.mdx#valid-parameters-and-values)
  section of the Ollama documentation.

## <span style={{ 'color': 'gray' }}>udf</span>  generate()

```python Signature theme={null}
@pxt.udf
generate(
    prompt: pxt.String,
    *,
    model: pxt.String,
    suffix: pxt.String = '',
    system: pxt.String = '',
    template: pxt.String = '',
    context: pxt.Json[(Int = None, raw: pxt.Bool = False, format: pxt.String | None = None, options: pxt.Json | None = None
) -> pxt.Json
```

Generate a response for a given prompt with a provided model.

**Parameters:**

* **`prompt`** (`pxt.String`): The prompt to generate a response for.
* **`model`** (`pxt.String`): The model name.
* **`suffix`** (`pxt.String`): The text after the model response.
* **`format`** (`Any`): The format of the response; must be one of `'json'` or `None`.
* **`system`** (`pxt.String`): System message.
* **`template`** (`pxt.String`): Prompt template to use.
* **`context`** (`pxt.Json[(Int`): The context parameter returned from a previous call to `generate()`.
* **`raw`** (`Any`): If `True`, no formatting will be applied to the prompt.
* **`options`** (`Any`): Additional options for the Ollama `chat` call, such as `max_tokens`, `temperature`, `top_p`, and
  `top_k`. For details, see the
  [Valid Parameters and Values](https://github.com/ollama/ollama/blob/main/docs/modelfile.mdx#valid-parameters-and-values)
  section of the Ollama documentation.


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