Databricks Community

To include AI Guardrail results in your responses, you need to enable logging or metadata propagation when the model generates output. Check if Mosaic AI Gateway supports attaching Guardrail flags or filter results as part of the response payload or ...

Hello @KaushalVachhani I was trying to find out if Databricks already has a template for this part "Genie Conversation API, saves it as a CSV file, and uploads it to SharePoint" Because the data might be big, eg more than 50 rows with more than four ...

Thanks @mark_ott are there plans to make the vector search a "proper" system table in Databricks rather than using an Azure Monitor table?

@Darshan13 , Based on the error, It looks like when Databricks Model Serving tries to load your model, MLflow's internal code attempts to import _UNSUPPORTED_MODEL_ERROR_MESSAGE which doesn't exist in the LangChain utils structure. Are you successful...

If your Azure Databricks tables show up as a knowledge source in Copilot Studio, but the agent cannot access data when you ask questions, the issue is often related to user or service account permissions, network rules, or the configuration of the ta...

Hi @heramb13 , Your chain is being serialized by MLflow; during that process MLflow re-imports each runnable by its module path. The error shows MLflow is trying to import ChatDatabricks from the legacy module path “langchain_databricks”, which isn’t...

Hi @yashshingvi , Thanks for the details—this is a common gotcha with MLflow “models from code.” Why your imports fail code_paths are only added to sys.path when the model is loaded (for inference/serving), not while the driver is executing mlflow.la...

Hi there Sam,I work for Databricks. The pace of innovation with AI/BI is wild (fast). Databricks itself just migrated off a leading BI platform and now exclusively runs its business on AI/BI (Blog). We also have customer testimonials on our website, ...

When using a custom Genie agent with the Databricks Genie REST API (GetMessage endpoint), extracting SQL queries and results works well as a standalone agent. However, integrating this custom agent into a multi-agent framework (especially when combin...

This error is most often due to missing permissions, workspace types, or cluster configuration settings necessary for AI agents and custom tools to access Unity Catalog (UC) functions using Spark Connect in Databricks. The main causes and solutions a...

The issue happens because SQLDatabase.from_databricks doesn’t automatically fetch column metadata from Unity Catalog tables in some LangChain versions, leading to malformed SELECT statements. A workaround is to manually query the catalog like you did...

Greetings @meetiasha , yes—there’s a gap between Databricks’ basic “vector endpoint + catalog index” examples and truly advanced RAG, so below is a step‑wise, LangChain‑first playbook you can run entirely on Databricks notebooks with local vector sto...

You want your RAG solution (based on Databricks Cookbook) to display PDF files at specific pages as references in your Review App, rather than plain text chunks. You also wish to retrieve source documents from your serving endpoint, but your current ...

Yes, it is possible to invoke an Azure AI Search Vector DB endpoint from within a Databricks environment—allowing you to leverage your existing Azure resource for client-specific document retrieval, without needing to create a new vector database in ...