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Generative AI
Explore discussions on generative artificial intelligence techniques and applications within the Databricks Community. Share ideas, challenges, and breakthroughs in this cutting-edge field.
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Forum Posts

Sujitha
by Databricks Employee
  • 30289 Views
  • 18 replies
  • 33 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 ...

Screenshot 2024-01-24 at 11.32.01 PM.png
  • 30289 Views
  • 18 replies
  • 33 kudos
Latest Reply
AIChief
New Contributor II
  • 33 kudos

thanks for sharing

  • 33 kudos
17 More Replies
Prashant_151
by New Contributor II
  • 116 Views
  • 2 replies
  • 2 kudos

Agent Bricks Cost and Billing

This is regarding agent bricks and want to understand DBU consumed while creating a knowledge assistant agent. Can anyone please share any video or documentation which will help me in this regard..Let's say I take a pdf on which we want Knowledge ass...

  • 116 Views
  • 2 replies
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Latest Reply
Raman_Unifeye
Contributor III
  • 2 kudos

As it is fairly new product and yet to be made availalbe in various region even in Public preview, we are running a webinar with Databricks SA. Below is the link to our earlier post. Pls feel free to join this and hear it directly from Databricks SA ...

  • 2 kudos
1 More Replies
kcailabs
by New Contributor
  • 94 Views
  • 1 replies
  • 1 kudos

Running Into Erroneous "Databricks Connected" Messages with Claude Desktop

When I try to connect Databricks via the connector that is now available within Claude Desktop to a genie space I have available (which is just the default test one), Databricks appears to say that it connects successfully, but it never actually work...

kcailabs_1-1763354494688.png kcailabs_0-1763354486166.png
  • 94 Views
  • 1 replies
  • 1 kudos
Latest Reply
Louis_Frolio
Databricks Employee
  • 1 kudos

Greetings @kcailabs , Thanks for sharing the screenshots—this helps. From what I can see, Claude shows a “Successfully connected to Databricks” toast while the Databricks connector still displays “Disconnected,” and the Server URL entered is just a p...

  • 1 kudos
DinoSaluzzi
by New Contributor III
  • 1453 Views
  • 4 replies
  • 3 kudos

How to implement prompt caching using Claude models?

Hi, I am trying to use prompt caching future using claude "databricks-claude-sonnet-4" databricks endpoint (wrapped in a ChatDatabricks instance). Using langchain, I set  SystemMessage( content=[ { ...

Generative AI
ChatDatabricks
Prompt caching
  • 1453 Views
  • 4 replies
  • 3 kudos
Latest Reply
Pradeep54
Databricks Employee
  • 3 kudos

@DinoSaluzzi If you can restructure your system& user prompt in a similar manner to the examples provided, prompt caching should start working as expected. messages = [ { "role": "system", "content": [ { ...

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3 More Replies
SandipCoder
by New Contributor II
  • 132 Views
  • 1 replies
  • 1 kudos

Getting error while trying to use external MCP

I have created a mcp connection from marketplace :Conn Name : mcp_brightdata_web_surfermcp product url : https://brightdata.com/I have attached the mcp through playground . But while submitting the prompt I am getting the following error .Error : The...

  • 132 Views
  • 1 replies
  • 1 kudos
Latest Reply
RahulPathakDBX
Databricks Employee
  • 1 kudos

Based on the error,  which is a "502 Bad Gateway" error indicates that a server sitting as a gateway or proxy received an invalid response from an upstream server. Here, Databricks is trying to communicate with the external MCP server associated with...

  • 1 kudos
Abhishek_Patel
by New Contributor III
  • 980 Views
  • 13 replies
  • 5 kudos

Resolved! AgentBricks - Multi Agent Supervisor Issue

Hi, I am doing POC using AgentBricks and using Multi Agent Supervisor. I have configured 2 subagents.1. Genie Space2. UC Function to call LLM3. UC Function to plot chartsHowever, the agent is able to access and use only Genie space agent and not usin...

  • 980 Views
  • 13 replies
  • 5 kudos
Latest Reply
Krishna_S
Databricks Employee
  • 5 kudos

Also, as you can see on the top right of the attached image, it creates an MLFlow experiment.   Click on that MLflow experiment, and check the traces and let me know what it shows, as you can see here it shows the tool is being called in the trace. ...

  • 5 kudos
12 More Replies
Louis_Frolio
by Databricks Employee
  • 143 Views
  • 1 replies
  • 3 kudos

Why Agent Bricks Is a Game Changer

Check out Agent Bricks — Databricks’ new framework for building AI agents without writing a single line of code. Picture this: you describe your business challenge in plain English, point it at your data, and boom… a domain-specific agent comes to li...

  • 143 Views
  • 1 replies
  • 3 kudos
Latest Reply
Brahmareddy
Esteemed Contributor
  • 3 kudos

Absolutely love the direction Databricks is heading with Agent Bricks — this is true innovation. Taking something as complex as building AI agents and turning it into a no-code, domain-aware, business-ready framework is a huge leap forward for teams ...

  • 3 kudos
GunaR
by New Contributor III
  • 810 Views
  • 11 replies
  • 1 kudos

RLS in Genie Space

I am developing a Conversational BI Solution using Genie. There are users from different roles and we need to restrict the rows returned based on the user's role. Typically RLS. I understand from documentation Genie leverage the RLS setup on the Unit...

  • 810 Views
  • 11 replies
  • 1 kudos
Latest Reply
CharlotteMarti2
New Contributor III
  • 1 kudos

You can implement RLS in Genie without adding users to Databricks by passing a user identifier with each API call and having your queries filter rows based on that ID. Typically, you’d set up parameterized queries or session variables that enforce ro...

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Rjdudley
by Honored Contributor
  • 172 Views
  • 4 replies
  • 0 kudos

Add AI Guardrail results into response?

We're considering switching from Azure AI Foundry to Mosaic AI Gateway.  One nice feature AI Foundry has is it adds the content filter results to the response (and in a streaming response, each delta).  This allows us to provide some feedback to the ...

  • 172 Views
  • 4 replies
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Latest Reply
CharlotteMarti2
New Contributor III
  • 0 kudos

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 ...

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3 More Replies
foubs
by New Contributor II
  • 160 Views
  • 3 replies
  • 0 kudos

Databrcks + sharepoint +Microsoft Teams Bot

I recently created a Teams Bot using Databricks Genie, and some of the data I want to retrieve from Databricks can be very large. The solution I am thinking of is for every bot request which will lead to lots of rows and columns to be retrieved, I wa...

  • 160 Views
  • 3 replies
  • 0 kudos
Latest Reply
foubs
New Contributor II
  • 0 kudos

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 ...

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2 More Replies
Rjdudley
by Honored Contributor
  • 123 Views
  • 2 replies
  • 1 kudos

System tables for vector search index?

Are there system tables or log files for monitoring vector search index searches?  I didn't see vector search mentioned on the system tables documentation (Monitor account activity with system tables - Azure Databricks | Microsoft Learn).

  • 123 Views
  • 2 replies
  • 1 kudos
Latest Reply
Rjdudley
Honored Contributor
  • 1 kudos

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

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1 More Replies
Darshan13
by New Contributor
  • 118 Views
  • 1 replies
  • 1 kudos

MLflow LangChain Model Serving Fails: _UNSUPPORTED_MODEL_ERROR_MESSAGE ImportError

I’m trying to log and serve a LangChain-based RFI chatbot model using MLflow in Databricks, but I’m encountering the following error when loading the model:ImportError: cannot import name '_UNSUPPORTED_MODEL_ERROR_MESSAGE' from 'mlflow.langchain.util...

  • 118 Views
  • 1 replies
  • 1 kudos
Latest Reply
KaushalVachhani
Databricks Employee
  • 1 kudos

@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...

  • 1 kudos
mcarreira
by New Contributor
  • 2104 Views
  • 1 replies
  • 0 kudos

Add Azure Databricks tables as knowledge source into Copilot Studio Agent

Hello!I’m trying to add some tables from my Azure Databricks as a knowledge source in a Copilot Studio agent so that I can ask questions about the information stored in these tables.The connection is created successfully, and I can see a preview of m...

  • 2104 Views
  • 1 replies
  • 0 kudos
Latest Reply
mark_ott
Databricks Employee
  • 0 kudos

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...

  • 0 kudos
heramb13
by New Contributor II
  • 5659 Views
  • 4 replies
  • 0 kudos

Unable to log MLFlow run for LangChain chain while using databricks-langchain library

Whenever I try to log my run it throws me the following error: MlflowException: Failed to save runnable sequence: {'0': 'RunnableParallel<query,context> -- Failed to save runnable sequence: {\'context\': "RunnableSequence -- Failed to save runnable s...

  • 5659 Views
  • 4 replies
  • 0 kudos
Latest Reply
stbjelcevic
Databricks Employee
  • 0 kudos

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...

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3 More Replies
yashshingvi
by New Contributor
  • 4075 Views
  • 1 replies
  • 0 kudos

Unable to add dependencies to mlflow.langchain.log_model

Hello,I'm doing this-with mlflow.start_run(run_name="run1"): logged_chain_info = mlflow.langchain.log_model( # lc_model=os.path.join(os.getcwd(), 'full_chain'), this doesnt work too lc_model='/Workspace/Users/{user_name}/exp/d...

  • 4075 Views
  • 1 replies
  • 0 kudos
Latest Reply
stbjelcevic
Databricks Employee
  • 0 kudos

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...

  • 0 kudos
samueldaly
by New Contributor II
  • 4104 Views
  • 1 replies
  • 2 kudos

AI/BI Genie - Real world experience?

I have been tasked with creating a NLP interface for management to our internal datalake that has numerous joined tables around customer information. I have tried the hello-world llamaindex, langchain sql/pandas agents with limited success (too many ...

  • 4104 Views
  • 1 replies
  • 2 kudos
Latest Reply
mitchellg-db
Databricks Employee
  • 2 kudos

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, ...

  • 2 kudos

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