databricks-langchain 0.0.2

Support for Datarbricks AI support in LangChain

🦜🔗 Using Databricks AI Bridge with Langchain

Integrate Databricks AI Bridge package with Langchain to allow seamless usage of Databricks AI features with Langchain/Langgraph applications.

Note: This repository is the future home for all Databricks integrations currently found in langchain-databricks and langchain-community. We have now aliased langchain-databricks to databricks-langchain, consolidating integrations such as ChatDatabricks, DatabricksEmbeddings, DatabricksVectorSearch, and more under this package.

Installation

Install from PyPI

pip install databricks-langchain

Install from source

pip install git+ssh://[e-mail]/databricks/databricks-ai-bridge.git#subdirectory=integrations/langchain

Get started

Use LLMs on Databricks

from databricks_langchain import ChatDatabricks
llm = ChatDatabricks(endpoint="databricks-meta-llama-3-1-70b-instruct")

(Preview) Use a Genie space as an agent

[!NOTE] Requires Genie API Private Preview. Reach out to your account team for enablement.

from databricks_langchain.genie import GenieAgent

genie_agent = GenieAgent("space-id", "Genie", description="This Genie space has access to sales data in Europe")