{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"}],"enrichment":{"capability":"Provides a shared Python API layer for building agents and applications that integrate with Databricks AI features like Vector Search and AI/BI Genie.","skillfed_tags":["databricks-integration","vector-search","agent-framework"],"use_cases":["Building agents on Databricks Agent Framework that query vector databases and AI/BI Genie","Integrating Databricks Vector Search into LangChain or LangGraph workflows via databricks-langchain","Using Databricks AI features with OpenAI SDK through the databricks-openai integration package","Programmatically accessing Databricks generative AI capabilities from Python applications","Token counting and embedding workflows that depend on tiktoken and Databricks services"],"what_it_does":"Databricks AI Bridge is an official Python library that provides a unified API for interacting with Databricks AI capabilities, primarily Vector Search and AI/BI Genie. It serves as the foundation layer for building agents and applications on Databricks, with dedicated integration packages available for LangChain/LangGraph and OpenAI SDK users. The library depends on databricks-sdk for workspace connectivity, mlflow-skinny for model tracking, pandas for data handling, pydantic for validation, and tiktoken for token counting.\n\nThe package is designed for developers already working within the Databricks ecosystem who need to programmatically access AI features. It is not a standalone AI framework but rather a bridge between your application code and Databricks-hosted services. Use of this library is restricted by its proprietary license to connections with Databricks Services only, meaning it cannot be used independently or with non-Databricks deployments.","worth_installing":"Yes, if you are building on Databricks and need to integrate Vector Search or AI/BI Genie into agents or applications. The library is actively maintained, has low install friction, and is the official integration point for Databricks AI features. No, if you are not using Databricks Services or need to use these capabilities outside a Databricks workspace\u2014the proprietary license explicitly restricts use to Databricks Services only."},"id":"databricks-ai-bridge","links":{"html":"https://skillfed.io/packages/databricks-ai-bridge","md":"https://skillfed.io/packages/databricks-ai-bridge.md","pypi":"https://pypi.org/project/databricks-ai-bridge/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-25","license_spdx":null,"license_treatment":"unclear","name":"databricks-ai-bridge","python_support":"supports_current","summary":"Official Python library for Databricks AI support"},"popularity":{"monthly_downloads":2188231,"position":3224,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.21.0"}