langchain-databricks
An integration package connecting Databricks and LangChain
Decision gist · record as of 2026-08-14
No. Do not install this package for new projects. It is deprecated and dormant; install databricks-langchain instead, which provides all the same functionality with active maintenance. If you have existing code using langchain-databricks, plan a migration to databricks-langchain to ensure you receive future updates and bug fixes.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; Databricks workspace credentials and endpoint configuration needed at runtime.
- Low install friction with straightforward dependencies, but the package is dormant—last release was 602 days ago.
- Maintenance has ceased in favor of the consolidated databricks-langchain package.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, but this is a deprecated package; new projects should use databricks-langchain instead.
last release 2024-12-20 (602 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 180,972 downloads/mo, #10,136 on PyPI
Alternatives
Verify before relying
pip install langchain-databricks
from langchain_databricks import ChatDatabricks
chat_model = ChatDatabricks(endpoint="databricks-meta-llama-3-70b-instruct")
response = chat_model.invoke("What is MLflow?")- Whether existing code using langchain-databricks will continue to work without breaking changes as Databricks evolves
- Compatibility guarantees with future versions of langchain-core, databricks-vectorsearch, and mlflow
What it is and what it does
langchain-databricks was an integration package that bridged LangChain applications with Databricks services—vector search, chat models, and MLflow tracking. It depended on langchain-core for the LangChain framework, databricks-vectorsearch for semantic search, mlflow for experiment tracking, and numpy and scipy for numerical operations.
However, this package is now deprecated. The maintainers have consolidated all functionality into databricks-langchain, which is the active, forward-looking package. Existing code using langchain-databricks will continue to run, but no new features or fixes are planned here; all development has moved to the replacement package.
Use it for
- Connecting a LangChain chatbot to Databricks vector search for semantic retrieval over enterprise data
- Integrating Databricks Foundation Models as LLM backends in LangChain applications
- Logging and tracking LangChain experiments and model runs via MLflow on Databricks
- Building RAG (retrieval-augmented generation) pipelines that query Databricks vector stores
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
Do not install this package for new projects. It is deprecated and dormant; install databricks-langchain instead, which provides all the same functionality with active maintenance. If you have existing code using langchain-databricks, plan a migration to databricks-langchain to ensure you receive future updates and bug fixes.
Install
langchain-databricks on PyPI
Before you install
Low install friction with straightforward dependencies, but the package is dormant—last release was 602 days ago. Maintenance has ceased in favor of the consolidated databricks-langchain package.
Requires Python 3.9 or later; Databricks workspace credentials and endpoint configuration needed at runtime.
License in practice
MIT license permits commercial and private use with minimal restrictions, but this is a deprecated package; new projects should use databricks-langchain instead.
Quickstart
pip install langchain-databricks
from langchain_databricks import ChatDatabricks
chat_model = ChatDatabricks(endpoint="databricks-meta-llama-3-70b-instruct")
response = chat_model.invoke("What is MLflow?")Verify before relying
- Whether existing code using langchain-databricks will continue to work without breaking changes as Databricks evolves
- Compatibility guarantees with future versions of langchain-core, databricks-vectorsearch, and mlflow
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesdatabricks-vectorsearchlangchain-coremlflownumpyscipy |
| Maintenance | Dormant 602 days since the last release |
| First released | |
| Downloads | 180,972 / month, #10,136 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.9 |
Evidence: langchain_databricks-0.1.2-py3-none-any.whl
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See also databricks-langchain · databricks-openai · databricks-ai-bridge · databricks-vectorsearch · unitycatalog-langchain · langchain-aws · braintrust-langchain · langchain-classic · langchain-google-vertexai · databricks-feature-store