{"library":"databricks-langchain","type":"library","category":null,"description":"The databricks-langchain library provides support for integrating Databricks AI capabilities, such as LLMs and Vector Search, directly into LangChain applications. It enables developers to leverage Databricks-hosted models and data artifacts within the LangChain ecosystem. The current version is 0.18.0, with releases typically aligning with LangChain community updates and Databricks feature rollouts.","language":"python","status":"active","version":"0.18.0","tags":["databricks","langchain","llm","ai","vector-db","rag","integration"],"last_verified":"Thu May 21","install":[{"cmd":"pip install databricks-langchain","imports":["from langchain_community.chat_models import ChatDatabricks","from langchain_community.vectorstores import DatabricksVectorSearch"]}],"homepage":"https://www.databricks.com","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/databricks-langchain/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":53.3,"avg_import_s":2.45,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/databricks-langchain/compatibility"}}