- 38629 Views
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Databricks Announces the Industry’s First Generative AI Engineer Learning Pathway and Certification
Today, we are announcing the industry's first Generative AI Engineer learning pathway and certification to help ensure that data and AI practitioners have the resources to be successful with generative AI. At Databricks, we recognize that generative ...
- 38629 Views
- 22 replies
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Dear Certifications TeamI have completed full Generative AI Engineering Pathway, so I received module wise knowledge badge but I didn't received the overall certificate which mentioned in description which is Generative AI Engineer with one Star. Req...
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- 878 Views
- 1 replies
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Resolved! RAG pipeline in Databricks
We have to implement a RAG pipeline in Databricks using Unity Catalog and Delta tables, We are a databricks partner company, can we have some credits to do over this PoC
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- 1 replies
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Hi @ankitmishra,Yes, it is definitely possible to request credits for your PoC. The quickest route is to identify the Partner Solution Architect (PSA) assigned to your company account. They can submit the request on your behalf and even attach it to ...
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- 1988 Views
- 4 replies
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Can't connect to custom MCP Server
I've tried connecting from local environment, notebook and following the sample notebook here:https://docs.databricks.com/aws/en/generative-ai/mcp/custom-mcp?language=Local+environmentAnd I'm always getting the same error:httpx.ConnectError: All conn...
- 1988 Views
- 4 replies
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I wasn't setting the MCP server as a streamable http, I've done that already and it works!
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- 1673 Views
- 1 replies
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Resolved! Error in output of databricks managed mcp server
Hi Databricks Community,Need suggestions.I have added two functions and I am able to use them. I am using Cursor IDE but in the logs I can see below error,2025-11-01 20:10:23.203 [info] Handling CreateClient action2025-11-01 20:10:23.203 [info] Creat...
- 1673 Views
- 1 replies
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The most important thing to know is: Databricks supports external MCP servers only if they use the Streamable HTTP transport mechanism. Client errors related to Streamable HTTP typically occur if the MCP server or client is not compliant with this tr...
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- 904 Views
- 1 replies
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Playground doesn't show tool results
Hii,I’ve created a model in Databricks that uses different tools. One of these tools generates a chart based on data read from Genie.I’d like to visualize this chart (basically an image) in Playground, but so far I haven’t found a way to do it. At th...
- 904 Views
- 1 replies
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The Issue: Databricks Playground typically has limited native support for rendering base64 images directly in the chat interface. This is a known limitation in many AI playground environments. Potential Workarounds: 1. Use Markdown Im...
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- 6921 Views
- 1 replies
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Accessing UC Volumes using pure python (ML) with databricks-connect
Hi All,In my organization, we use Databricks Connect and VS Code for data engineering purposes. This setup is working great, especially for:- Debugging- Unit tests- GitHub Copilot- Reusable modules and custom librariesIn my view, the developer experi...
- 6921 Views
- 1 replies
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Hey @KrzysztofPrzyso , so sorry this question got lost in the shuffle. This is a known architectural limitation with Databricks Connect when working with pure Python file operations and UC Volumes. The issue stems from how Databricks Connect executes...
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- 6618 Views
- 1 replies
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AI_QUERY fails with o1-mini
As of sometime between March 7th and March 12, the AI_QUERY function has become very temperamental with Azure OpenAI models.Asking a basic question of our Mosaic AI o1-mini serving endpoint using AI_QUERY causes an error sometimes but not every time:...
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Hello @jAAmes_bentley , I did some digging and here is what I found. Root Cause: Unsupported Temperature Parameter The primary issue with your `AI_QUERY` call to o1-mini is the temperature parameter. OpenAI's o1-series models (o1, o1-mini, o1-preview...
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- 1021 Views
- 2 replies
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Issue while implementation of Use Genie in multi-agent systems
I am testing https://docs.databricks.com/aws/en/generative-ai/agent-framework/multi-agent-genie and looks code is not up to date and it is failing as longchain version upgraded to v1 from v0 that does not support post_model_hook parameter.I tried mul...
- 1021 Views
- 2 replies
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Hi Ajay, it looks like the Databricks multi-agent Genie docs haven’t been updated for langchain v1. You’ll need to remove or replace the post_model_hook parameter with the new callback or event handling mechanisms in v1. Checking the latest langchain...
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- 4613 Views
- 1 replies
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Libraries in requirements file not installed when streamlit app is deployed
I deployed a streamlit app on Databricks cluster but the libraries in the requirments.txt file were not installed when the app is deployed. I'm getting this error when a function that uses OpenAI is called."ImportError: Could not import openai python...
- 4613 Views
- 1 replies
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Hi @data_scientist3 , Would you share how you deployed the Streamlit app (Databricks Apps vs running Streamlit from a notebook/job cluster) and your cluster’s Databricks Runtime version? That’ll help me tailor the exact steps to your setup. Option 1:...
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- 16102 Views
- 1 replies
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Resolved! Genie Space
Hi Team,I would like to use Genie to enable NLP on my delta lake. However, the documentation mention the limitation as 20 messages per minute for a workspace for all Genie Spaces.Is there a pay-as-go model for Genie Space?Regards,Ravi Kumar Singh
- 16102 Views
- 1 replies
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Hi @RaviSingh0000 , 20 messages per minute per workspace across all the spaces is a throughput that Genie currently offers. What is the throughput requirement you have per workspace? It doesn't have a pay-as-you-go model. Currently, it is charged for...
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- 1112 Views
- 1 replies
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Run Genie in multi-agent systems
I am trying the notebook to run Genie space in multi agent system, following:https://docs.databricks.com/aws/en/generative-ai/agent-framework/multi-agent-genie#gsc.tab=0Also there is a YouTube vide discussing about this: https://www.youtube.com/watch...
- 1112 Views
- 1 replies
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Hi @chenmx , The first link you provided is the latest example code that Databricks provides for setting up a multi-agent supervisor with a genie space, the exact same code as the youtube video is not published. Would you be able to share some more d...
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- 599 Views
- 1 replies
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pop up when using databrics sql
Hello, I am uning databricks sql to read from a unity catalog table locally on a python project using an azure sp client id and client secretthe connexion is successful however i have a pop up that asks me to connect to my azure envis there a way to ...
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In your .env file, add: DATABRICKS_WORKSPACE_RESOURCE_ID=/subscriptions/your-sub-id/resourceGroups/your-rg/providers/Microsoft.Databricks/workspaces/your -workspace Alternative approaches if the popup persists: 1. Use OAuth machine-to-m...
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- 2940 Views
- 3 replies
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Resolved! Testing out Agentic Capabilities
So I am creating a POV on Databricks' agentic capabilities and wanted to showcase its abilities through a simple change pipeline.A user asks for changes in a specific table in a schema -> based on metadata info from our lake table info is received ->...
- 2940 Views
- 3 replies
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Yes, it’s viable — Databricks’ in-house agents can handle that workflow if you define each stage as callable Python tools. The key is robust function design and proper metadata access. However, you might find integrating Unity Catalog and Git integra...
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- 1021 Views
- 2 replies
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Load the HF pipeline in databricks
Hi all, I have a question about the integration of HF in Databricks.I'm struggling to save the models and datasets:For instance, for the code below, I got this error:ValueError: Could not load model nickwong64/bert-base-uncased-poems-sentiment with a...
- 1021 Views
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The error happens because the model "nickwong64/bert-base-uncased-poems-sentiment" isn’t correctly registered as a SequenceClassification model in Hugging Face. You can try:Use AutoModelForSequenceClassification explicitly: from transformers import...
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- 5748 Views
- 3 replies
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I am struggling on complicated RAG code for Mosaic evaluation deployment
I want to know how I can apply some complicated RAG designs so I can directly deploy on the Mosaic AI evaluation UI. There are two cases:1. two or more index retrieval as independent tools (parallel retrievals)2.two index retrieval processes that dep...
- 5748 Views
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Hi @wind2025, for Mosaic RAG setups:Parallel retrievals: independent retrievers feeding one or multiple LLMs.Linear retrievals: chain retrievers so output of one filters the next.Independent RAG chains: define separate chains and register both as too...
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- 2852 Views
- 1 replies
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Function Calling and Tool Integration: Empowering Agents to Take Action
Function calling is what truly unlocks an agent’s potential on Databricks. It’s the bridge between conversation and action — turning an LLM from a chatty assistant into an autonomous system that actually gets stuff done. Imagine this: an agent that c...
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To strike the right balance, I’d focus on modular, well-documented tools with strict access control. Each callable function should have:Clear purpose & description – so the LLM knows when to invoke it.Input/output validation – prevents unintended act...
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