- 36065 Views
- 22 replies
- 47 kudos
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 ...
- 36065 Views
- 22 replies
- 47 kudos
- 47 kudos
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...
- 47 kudos
- 6328 Views
- 1 replies
- 1 kudos
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:...
- 6328 Views
- 1 replies
- 1 kudos
- 1 kudos
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...
- 1 kudos
- 901 Views
- 2 replies
- 0 kudos
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...
- 901 Views
- 2 replies
- 0 kudos
- 0 kudos
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...
- 0 kudos
- 4413 Views
- 1 replies
- 0 kudos
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...
- 4413 Views
- 1 replies
- 0 kudos
- 0 kudos
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:...
- 0 kudos
- 15941 Views
- 1 replies
- 1 kudos
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
- 15941 Views
- 1 replies
- 1 kudos
- 1 kudos
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...
- 1 kudos
- 872 Views
- 1 replies
- 0 kudos
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...
- 872 Views
- 1 replies
- 0 kudos
- 0 kudos
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...
- 0 kudos
- 514 Views
- 1 replies
- 0 kudos
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 ...
- 514 Views
- 1 replies
- 0 kudos
- 0 kudos
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...
- 0 kudos
- 2641 Views
- 3 replies
- 0 kudos
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 ->...
- 2641 Views
- 3 replies
- 0 kudos
- 0 kudos
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...
- 0 kudos
- 917 Views
- 2 replies
- 2 kudos
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...
- 917 Views
- 2 replies
- 2 kudos
- 2 kudos
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...
- 2 kudos
- 5462 Views
- 3 replies
- 1 kudos
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...
- 5462 Views
- 3 replies
- 1 kudos
- 1 kudos
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...
- 1 kudos
- 2554 Views
- 1 replies
- 2 kudos
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...
- 2554 Views
- 1 replies
- 2 kudos
- 2 kudos
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...
- 2 kudos
- 7844 Views
- 3 replies
- 0 kudos
How can we serve Genie as an endpoint model like RAG?
Is there any way to serve genie bot as a endpoint model like we serve RAG models. So we can access the genie bot outside the genie space?
- 7844 Views
- 3 replies
- 0 kudos
- 0 kudos
Hi @hammad, you can use AgentBricks - Multi Agent Supervisor to achieve the same result. You also use Genie as a Databricks-managed MCP tool. Depending on your situation, you can choose the option that suits you best.
- 0 kudos
- 4776 Views
- 1 replies
- 1 kudos
Resolved! Exception: The demo llm-rag-chatbot doesn't exist.
Hello,when I try to bring the demo environment (LLM Chatbot With Retrieval Augmented Generation (RAG) and DBRX) into my Databricks workspace, I get the following error: Exception: The demo llm-rag-chatbot doesn't exist.I execute the following code: %...
- 4776 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi @xiinex - You are right. This demo is now deprecated. Please use the ai-agent demo.
- 1 kudos
- 2209 Views
- 5 replies
- 1 kudos
Resolved! Problems with unstructured_data_pipeline
Hi everyone,I'm currently working with the unstructured data pipeline in Databricks, using the official notebook provided by Databricks without any modifications. Strangely, despite being an out-of-the-box resource, the notebook fails during executio...
- 2209 Views
- 5 replies
- 1 kudos
- 1 kudos
Hi @Mariano-Vertiz - Which access mode are you using for your cluster - dedicated or standard? I think it is failing as a standard cluster does not allow the low-level operation it is trying to perform in cell 42. Is that where it's failing? I tried ...
- 1 kudos
- 6642 Views
- 1 replies
- 1 kudos
Resolved! Error when logging artifact OSError: [Errno 5] Input/output error: '/dbfs/Volumes'
Hi, I'm building an streamlit application on databricks apps, where user can upload some data , and I run an LLM model and return results. There, I want to log an artifact to a volume. I'm following this documentation https://docs.databricks.com/aws...
- 6642 Views
- 1 replies
- 1 kudos
- 1 kudos
The error text OSError: [Errno 5] Input/output error: '/dbfs/Volumes' occurs because Databricks Apps (including Streamlit apps running on Databricks) currently do not have direct write access to /dbfs/Volumes for artifact logging via M...
- 1 kudos
- 3024 Views
- 9 replies
- 2 kudos
getting 500 on embedding model invocation call
I'm getting the following error message "{"error_code": "INTERNAL_ERROR", "message": "The server received an invalid response from an upstream server."}" when making a call to bge-large-en embedding model.
- 3024 Views
- 9 replies
- 2 kudos
- 2 kudos
Hi @tefrati - Can you please go to the model serving endpoint and click on the use drop down (as shown in the picture below) and try the simple python or sql and see if that works for you. from openai import OpenAI import os # How to get your Databr...
- 2 kudos
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agent
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agent bricks
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Agent Skills
1 -
agents
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AI
3 -
AI Agents
10 -
ai gateway
2 -
AIAgents
1 -
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API Documentation
1 -
App
3 -
Application
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Artificial Intelligence
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Asset Bundles
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Authentication
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automoation
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crewai
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Databricks Delta Table
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databricks genie
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Databricks Mlflow
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Databricks Notebooks
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Databricks SQL
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Databricks-connect
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databricksapps
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delta sync
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Delta Tables
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DLT Pipeline
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documentation
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Ethical Data Governance
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Foundation Model
4 -
gemini
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gemma
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GenAI
11 -
GenAI agent
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GenAI and LLMs
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GenAI Generation AI
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GenAIGeneration AI
52 -
Generation AI
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Generative AI
6 -
Genie
20 -
Genie - Notebook Access
2 -
Genie Code
3 -
GenieAPI
5 -
Google
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GPT
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healthcare
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Index
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inference table
1 -
Information Extraction
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Langchain
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LangGraph
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Llama
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Llama 3.3
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LLM
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Machine Learning
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machine-learning
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mcp
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MlFlow
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