{"library":"databricks-ai-bridge","type":"library","category":null,"description":"Official Python library for Databricks AI support, simplifying Retrieval Augmented Generation (RAG) applications within the Databricks ecosystem. It provides tools for document processing, vectorization, and model serving directly integrated with Databricks services. Currently at version 0.18.0, it follows a pre-1.0 release cadence with frequent updates.","language":"python","status":"active","version":"0.18.0","tags":["databricks","ai","llm","genai","rag","mlops","vector-search"],"last_verified":"Thu May 21","install":[{"cmd":"pip install databricks-ai-bridge","imports":["from databricks_ai_bridge.rag.vectorstores import DatabricksVectorSearch","from databricks_ai_bridge.model_serving.prompt_engineering import PromptEngineer","from databricks_ai_bridge.model_serving.llm import DatabricksLLM"]}],"homepage":"https://www.databricks.com","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/databricks-ai-bridge/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":17.3,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/databricks-ai-bridge/compatibility"}}