langchain-databricks 0.1.2

An integration package connecting Databricks and LangChain

🦜️🔗 LangChain Databricks (Deprecated)

Note: this package is deprecated in favor of the renamed databricks-langchain package (repo, package).

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. 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:

   pip install databricks-langchain
   

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

   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 and the databricks-langchain package.

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Contributing

Contributions are now accepted in the databricks-langchain repository. Please refer to its contribution guide for more details.

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License

This project was licensed under the MIT License.

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