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Add package consolidation notice #32

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Oct 29, 2024
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Add package consolidation notice #32

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Add future deprecation notice
prithvikannan Oct 29, 2024
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prithvikannan Oct 29, 2024
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11 changes: 11 additions & 0 deletions README.md
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Expand Up @@ -2,6 +2,17 @@

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

## Upcoming Package Consolidation Notice
This package (`langchain-databricks`) will soon be consolidated into a new package: `databricks-langchain`. The new package will serve as the primary hub for all Databricks Langchain integrations.

### What’s Changing?
In the coming months, `databricks-langchain` will include all features currently in `langchain-databricks`, as well as additional integrations to provide a unified experience for Databricks users.

### What You Need to Know
For now, continue to use `langchain-databricks` as usual. When `databricks-langchain` is ready, we’ll provide clear migration instructions to make the transition seamless. During the transition period, `langchain-databricks` will remain operational, and updates will be shared here with timelines and guidance.

Thank you for your support as we work toward an improved, streamlined experience!

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Can't comment below, but we should also update the note below that says

Note: This repository will replace all Databricks integrations currently present in the langchain-community package. Users are encouraged to migrate to this repository as soon as possible.

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@smurching smurching Nov 4, 2024 •
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Or maybe it's ok actually, since the migration will be incremental from LC community -> this package -> databricks-langchain

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@smurching smurching Nov 4, 2024 •
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But we should probably just move the note up and message it all clearly (the incremental migration plan) upfront

## Features

- **🤖 LLMs**: The `ChatDatabricks` component allows you to access chat endpoints hosted on [Databricks Model Serving](https://www.databricks.com/product/model-serving), including state-of-the-art models such as Llama3, Mixtral, and DBRX, as well as your own fine-tuned models.
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