{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"Integrates Databricks AI services\u2014LLMs, vector search, embeddings, and Genie\u2014into LangChain applications through a unified package.","skillfed_tags":["databricks-integration","rag-pipeline","llm-framework"],"use_cases":["Build LangChain agents that query Databricks-hosted LLMs like Llama 3.1 without direct SDK calls.","Create RAG pipelines using DatabricksVectorSearch for semantic search over Databricks-managed vector stores.","Generate embeddings for documents or queries using Databricks embedding models within LangChain workflows.","Prototype Genie-powered analytics agents that answer business questions over Databricks data (preview feature).","Migrate existing langchain-databricks or langchain-community Databricks code to the consolidated package."],"what_it_does":"databricks-langchain bridges Databricks AI capabilities into LangChain applications, consolidating what were previously scattered across multiple packages. It provides LangChain-compatible wrappers for Databricks-hosted LLMs (like Llama and Mixtral via ChatDatabricks), vector search operations, embeddings generation, and experimental Genie integration for AI-powered analytics agents.\n\nThe package is designed for teams already using Databricks workspaces who want to build LangChain-based AI applications without managing separate authentication or API layers. It depends on langchain, databricks-sdk, and several Databricks-specific adapters (databricks-ai-bridge, databricks-mcp, databricks-openai, and others), making it a fairly heavy integration layer best suited for applications where Databricks is the primary AI infrastructure.","worth_installing":"Yes, if you are building LangChain applications on Databricks infrastructure. The package consolidates fragmented Databricks integrations and is actively maintained. The 11-dependency footprint is expected for an integration layer. No known vulnerabilities. Install only if you have a Databricks workspace and LangChain is your chosen framework; it adds no value as a standalone tool."},"id":"databricks-langchain","links":{"html":"https://skillfed.io/packages/databricks-langchain","md":"https://skillfed.io/packages/databricks-langchain.md","pypi":"https://pypi.org/project/databricks-langchain/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-10","license_spdx":null,"license_treatment":"permissive","name":"databricks-langchain","python_support":"supports_current","summary":"Support for Databricks AI support in LangChain"},"popularity":{"monthly_downloads":3527468,"position":2592,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.20.0"}