# ChatOllama

## Prerequisite

1. Download [Ollama](https://github.com/ollama/ollama) or run it on [Docker.](https://hub.docker.com/r/ollama/ollama)
2. For example, you can use the following command to spin up a Docker instance with llama3

   ```bash
   docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
   docker exec -it ollama ollama run llama3
   ```

## Setup

1. **Chat Models** > drag **ChatOllama** node

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2Fgit-blob-bde86b4973bdb31361b80f54fd01f1ad7abf77c5%2Fimage%20(139).png?alt=media" alt="" width="563"><figcaption></figcaption></figure>

2. Fill in the model that is running on Ollama. For example: `llama2`. You can also use additional parameters:

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2Fgit-blob-d3bec65d2769f5e12a2497efa76d687e886abc9d%2Fimage%20(140).png?alt=media" alt=""><figcaption></figcaption></figure>

3. Voila [🎉](https://emojipedia.org/party-popper/), you can now use **ChatOllama node** in Flowise

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2Fgit-blob-004a46b3c6799bfc5875e1885e7ac1d558d58192%2Fimage%20(141).png?alt=media" alt=""><figcaption></figcaption></figure>

### Running on Docker

If you are running both Flowise and Ollama on docker. You'll have to change the Base URL for ChatOllama.

For Windows and MacOS Operating Systems specify [http://host.docker.internal:8000](http://host.docker.internal:8000/). For Linux based systems the default docker gateway should be used since host.docker.internal is not available: [http://172.17.0.1:8000](http://172.17.0.1:8000/)

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2Fgit-blob-d814dc411850b1ea40c90ef6bec0fbe188aee449%2Fimage%20(142).png?alt=media" alt="" width="292"><figcaption></figcaption></figure>

## Ollama Cloud

1. Create an [API key](https://ollama.com/settings/keys) on **ollama.com**.
2. In Flowise, click **Create Credential** and select **Ollama API**, and enter your API Key.

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2FiX6xV5nZtSHA8Qrpe9v0%2Fimage.png?alt=media&#x26;token=5af24e71-ac98-4924-9244-5ce0ad33aa90" alt="" width="435"><figcaption></figcaption></figure>

3. Then, set the **Base URL** to `https://ollama.com`
4. Enter the models that are available on Ollama Cloud.

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2FIrnW1sBbky79Vzd8fEfF%2Fimage.png?alt=media&#x26;token=5780ebd8-480d-48a1-a194-fd7aa75a363e" alt="" width="394"><figcaption></figcaption></figure>

## Resources

* [LangchainJS ChatOllama](https://js.langchain.com/docs/integrations/chat/ollama)
* [Ollama](https://github.com/ollama/ollama)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.flowiseai.com/integrations/langchain/chat-models/chatollama.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.