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### Summary Add `DatabricksVectorSearch` and `DatabricksEmbeddings` classes to the `langchain-databricks` partner packages. Core functionality is unchanged, but the vector search class is largely refactored for readability and maintainability. This PR does not add integration tests yet. This will be added once the Databricks test workspace is ready. Tagging @efriis as POC ### Tracker [✅] Create a package and imgrate ChatDatabricks [✍️] Migrate DatabricksVectorSearch, DatabricksEmbeddings, and their docs ~[ ] Migrate UCFunctionToolkit and its doc~ [ ] Add provider document and update README.md [ ] Add integration tests and set up secrets (after moved to an external package) [ ] Add deprecation note to the community implementations. --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Erick Friis <erick@langchain.dev>
langchain-databricks
This package contains the LangChain integration with Databricks
Installation
pip install -U langchain-databricks
And you should configure credentials by setting the following environment variables:
- TODO: fill this out
Chat Models
ChatDatabricks class exposes chat models from Databricks.
from langchain_databricks import ChatDatabricks
llm = ChatDatabricks()
llm.invoke("Sing a ballad of LangChain.")