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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
  • 30472 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
  • 30472 Views
  • 18 replies
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Latest Reply
AIChief
New Contributor II
  • 33 kudos

thanks for sharing

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17 More Replies
aliciachimeno
by New Contributor III
  • 5691 Views
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Genie Agent Integration in Databricks

I'm developing an Agent using the Cookbook template and would like to incorporate a Genie agent. I came across the Databricks GitHub repository and noticed they're actively working on it: GitHub - Genie Agent. However, it seems to be in the early sta...

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Latest Reply
NathanSundarara
Valued Contributor
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I think Teams/Slack channel as a chat bot will be more exciting use case. When we demoed the Genie to our executives we are in Retail Industry Client and we have lots of stores one of the thing they said is this would be awesome if this can be in Tea...

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sebascardonal
by New Contributor III
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Resolved! LangGraph MemorySaver checkpointer usage with MLflow

Hi everyone.I am working on a graph that utilizes the MemorySaver class to incorporate short-term memory. This will enable me to maintain a multi-turn conversation with the user by storing the chat history.I am using the MLflow "models from code" fea...

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sebascardonal
New Contributor III
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Hi @moemedina. No, I didn't.I'm considering using ChatModel/ChatAgent class to wrap the graph and be able to move on. However, the MLflow documentation is still referring to ChatModel where Chat Agent is the latest recommendation:MLflow ChatModel Doc...

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SaiVihAI
by New Contributor
  • 1187 Views
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Metadata filtering mechanism in Databricks Vector Search

Does Databricks vector search support pre-filtering or post-filtering or both in metadata filtering?

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Alberto_Umana
Databricks Employee
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Hello @SaiVihAI, Yes, It uses in-query filtering. The algorithm takes a series of iterative steps to determine if the filtered set is small enough to execute brute-force search or if it proceeds with AN

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Mohamednazeer
by New Contributor III
  • 5503 Views
  • 2 replies
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Serving endpoint with external model (azure openai) is throwing "Public network access is disable "

Databricks serving endpoint is not working as expected throwing an exception as "Public network access is disable, Create private endpoints".We have create the azure openAI resource with public network access disabled, but also we have created the pr...

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Ismael-K
Databricks Employee
  • 2 kudos

Serving endpoints with external models will require creating Network Connectivity Configuration objects at the account level to connect to the Azure OpenAI resource. The feature is currently in private preview, please reach out to your Databricks acc...

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VELU1122
by New Contributor II
  • 4828 Views
  • 1 replies
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Copying/cloning Vector index table

Regarding copying or cloning vector index tables, it appears that direct copying or cloning is not possible, as Databricks throws the message: "Securable with kind TABLE_ONLINE_VECTOR_INDEX_REPLICA does not support Lakehouse Federation."It seems that...

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Ismael-K
Databricks Employee
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Direct cloning of a vector index table may not be possible. However, if Databricks generates the embeddings, you can enable "Sync computed embeddings" to save them to a Unity Catalog table. Alternatively, you can set the parameter sync_computed_embed...

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Paolo_Finardi
by New Contributor III
  • 2607 Views
  • 4 replies
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Building a Chatbot Assistant for Data Analysts Leveraging Unity Catalog

Hey everyone,I'm working on a project to enhance our data analysts' experience on the platform. In our company, we've done a great job with Unity Catalog, and we have comprehensive descriptions for all the tables and columns in our data lake.I'm inte...

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Paolo_Finardi
New Contributor III
  • 2 kudos

Hi MariuszK,I can confirm that the RAG architecture on Databricks works very well—we’ve taken it to production and are very satisfied with the results. As a first step, I'll try creating a Genie Room on the system table to see if it can help retrieve...

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aero_g
by New Contributor
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Issues with Generating Synthetic Data Using the Mosaic AI API - 403 Permission Denied Error

 Hi everyone,I’m currently working with the new Synthetic Data Generation API in Mosaic AI, and I’ve encountered an issue when trying to generate questions for a document. Specifically, I’m running into the following error:Failed to generate question...

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Alberto_Umana
Databricks Employee
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Hi @aero_g, Looks like it is not supported on your region, but I will get more details internally.

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paalvibe
by New Contributor III
  • 1411 Views
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Should elaborate and complex LLM apps be deployed as MLFlow serving endpoints?

In a project we are building increasingly complex LLM-based Apps (RAG, multi-agent workflows, langgraph, unstructured ingestion etc), and we are having doubts if these apps should be deployed as MLFlow-based endpoints. I would like your feedback on i...

  • 1411 Views
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paalvibe
New Contributor III
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Actually, maybe root folder was imprecise. The point is that it gets file system access. It becomes a regular Workspace user, with too much access. If, however, you want to give it specific accesses beyond that, you could give it access to specific v...

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Nawneet
by New Contributor II
  • 800 Views
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Error running mlflow.evaluate()

Hi Team,I am following below article to evaluate my model.What is Mosaic AI Agent Evaluation? | Databricks on AWSExample for my model is below:input_example = pd.DataFrame({    "text": ["What is the stoppage duration for January month 2024?"],    "pa...

  • 800 Views
  • 1 replies
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Alberto_Umana
Databricks Employee
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Hello @Nawneet, Ensure that the input format for the agent evaluation matches the expected schema. Here is an example to structure your input data correctly: import mlflow import pandas as pd examples = { "request": [ {"messages": [{"ro...

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Kjetil
by Contributor
  • 3808 Views
  • 4 replies
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Model Serving and Streaming

Hi everyone,I have a question regarding the concurrency limitations of streaming responses from an LLM chain via Databricks Model Serving.When using a streaming response, the request remains open for the duration of the generation process. For exampl...

  • 3808 Views
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Latest Reply
LaurenFletcher
New Contributor II
  • 4 kudos

Wow, Thank you so much for your help.

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3 More Replies
kbmv
by Contributor
  • 2292 Views
  • 1 replies
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Resolved! Understanding compute requirements for Deploying Deepseek-R1-Distilled-Llama Models on databricks

Hi I came across the blog Deploying Deepseek-R1-Distilled-Llama Models on Databricks at https://www.databricks.com/blog/deepseek-r1-databricksI am new to using custom models that are not available as part of foundation models.According to the blog, I...

kbmv_0-1738850768911.png
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kbmv
Contributor
  • 0 kudos

Its Resolved https://community.databricks.com/t5/machine-learning/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109357#M3956

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dileepkumar_t
by New Contributor
  • 4735 Views
  • 1 replies
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Error - Interact with SQL database

 When I try to use Datbricks sql agent, I'm getting below error:DatabaseError: (databricks.sql.exc.ServerOperationError) [UNBOUND_SQL_PARAMETER] Found the unbound parameter: param_1. Please, fix `args` and provide a mapping of the parameter to a SQL ...

  • 4735 Views
  • 1 replies
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Latest Reply
kamal_ch
Databricks Employee
  • 0 kudos

Hi @dileepkumar_t The UNBOUND_SQL_PARAMETER error in Databricks SQL Agent occurs when a parameter marker in a SQL query is not associated with a value. This error is raised because the SQL query is expecting a parameter to be provided, but it has not...

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Mohanrajv27
by New Contributor
  • 4154 Views
  • 1 replies
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Cost Analysis for Databricks Compute

I am currently using the Databricks Vector Search on top of my databricks workspace and running the DBRX Model for querying off and retrieve the results out of it.I have noticed something, a category of compute occurred, which I haven't seen earlier....

  • 4154 Views
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Latest Reply
kamal_ch
Databricks Employee
  • 0 kudos

Hi @Mohanrajv27 The "Automated Serverless compute Pro" category in Databricks is designed to provide a serverless environment where compute resources are automatically managed and scaled by Databricks. Hope this answers your question!

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thmonte
by New Contributor II
  • 1329 Views
  • 2 replies
  • 1 kudos

Tool Calls with Workspace Models

I recently followed the blog post on running deepseek llama distilled.  I then served it via Serving Endpoints with provisioned throughput.  In my use case I am using pydantic-ai to build out some simple agents for testing.  It seems with this style ...

  • 1329 Views
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Latest Reply
thmonte
New Contributor II
  • 1 kudos

Thanks @Alberto_Umana which one of these controls allows the conversation to continue past the first tool call?  Is there documentation on all configurable fields?  Also does this still allow override some of these at the client level? Ex. passing in...

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SristiRaj
by New Contributor
  • 1067 Views
  • 1 replies
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Databricks REST api to manage and deploy Genie spaces programmatically

Hello,I am looking to find documentation for databricks REST api for creating and deploying genie spaces with necessary configuration. Could you please guide me to the documentation for the same.Regards,Sristi Raj 

  • 1067 Views
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Latest Reply
Alberto_Umana
Databricks Employee
  • 0 kudos

Hi @SristiRaj, Currently there is not API for that. I see that Databricks Genie Conversation APIs are currently in private preview. Please stay tune for news on this!

  • 0 kudos

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