https://github.com/langchain-ai/langchain-databricks

https://github.com/langchain-ai/langchain-databricks

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/langchain-ai/langchain-databricks
• Owner: langchain-ai
• License: mit
• Created: 2024-08-27T23:49:44.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-12-17T07:32:50.000Z (2 months ago)
• Last Synced: 2024-12-17T08:37:24.041Z (2 months ago)
• Language: Python
• Size: 289 KB
• Stars: 7
• Watchers: 6
• Forks: 9
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 🦜️🔗 LangChain Databricks (Deprecated)

| Note: this package is deprecated in favor of the renamed `databricks-langchain` package ([repo](https://github.com/databricks/databricks-ai-bridge/tree/main/integrations/langchain), [package](https://pypi.org/project/databricks-langchain/)). |

|-|

This repository previously provided LangChain components to connect your LangChain application with various Databricks services.

## Deprecation Notice

The `langchain-databricks` package is now deprecated in favor of the consolidated package [`databricks-langchain`](https://pypi.org/project/databricks-langchain/). Please update your dependencies to use `databricks-langchain` going forward.

### Migration Guide

#### What’s Changing?

- All features previously provided by `langchain-databricks` are now available in `databricks-langchain`.

- Future updates and new features will be released exclusively in `databricks-langchain`.

#### How to Migrate

1. **Install the new package:**

    ```bash

    pip install databricks-langchain

    ```

2. **Update Imports:** Replace occurrences of `langchain_databricks` in your code with `databricks_langchain`. Example:

   ```python

   from databricks_langchain import ChatDatabricks

   chat_model = ChatDatabricks(endpoint="databricks-meta-llama-3-70b-instruct")

   response = chat_model.invoke("What is MLflow?")

   print(response)

   ```

For more details, please refer to the [Langchain documentation](https://python.langchain.com/docs/integrations/providers/databricks/) and the [databricks-langchain package](https://pypi.org/project/databricks-langchain/). 

---

## Contributing

Contributions are now accepted in the `databricks-langchain` repository. Please refer to its [contribution guide](https://github.com/databricks/databricks-ai-bridge/tree/main/integrations/langchain) for more details.

---

## License

This project was licensed under the [MIT License](LICENSE).

Thank you for your support as we continue to improve Databricks integrations within LangChain!