- 30463 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 ...
- 30463 Views
- 18 replies
- 33 kudos
- 216 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 ...
- 216 Views
- 4 replies
- 0 kudos
- 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 ...
- 0 kudos
- 184 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...
- 184 Views
- 3 replies
- 0 kudos
- 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 ...
- 0 kudos
- 151 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).
- 151 Views
- 2 replies
- 1 kudos
- 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?
- 1 kudos
- 147 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...
- 147 Views
- 1 replies
- 1 kudos
- 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
- 3104 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...
- 3104 Views
- 1 replies
- 0 kudos
- 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
- 5694 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...
- 5694 Views
- 4 replies
- 0 kudos
- 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...
- 0 kudos
- 4093 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...
- 4093 Views
- 1 replies
- 0 kudos
- 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
- 4130 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 ...
- 4130 Views
- 1 replies
- 2 kudos
- 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
- 297 Views
- 2 replies
- 2 kudos
Resolved! Where are GPT-5 and Gemini in Azure Databricks?
Are GPT-5 and Gemini not available in Azure Databricks? According to Native OpenAI Models Now Generally Available on Databricks | Databricks Blog and Google’s Gemini Models on Databricks | Databricks Blog these are both GA with no mention of platfor...
- 297 Views
- 2 replies
- 2 kudos
- 2 kudos
Hi @Rjdudley ,They're not available yet on Azure Databricks. Here's up-to-date list of all available mode right now:Databricks-hosted foundation models available in Foundation Model APIs - Azure Databricks | Microsoft LearnSo, we need some patience ...
- 2 kudos
- 2503 Views
- 5 replies
- 3 kudos
Using Genie in Multi-Agent Systems — SQL Query Missing from Output
Hi Community,I’ve implemented a multi-agent system using Genie in Databricks, following the guide on "Use Genie in multi-agent systems | Databricks Documentation". The system integrates well with vector indexes, and everything works fine during model...
- 2503 Views
- 5 replies
- 3 kudos
- 3 kudos
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...
- 3 kudos
- 4454 Views
- 2 replies
- 0 kudos
DatabricksFunctionClient : PERMISSION_DENIED when creating the client
Hello, I'm currently working with Databricks features to create an AI agent system. In the documentation it's written that the library DatabricksFunctionClient is needed to register custom tools to UC. I followed the different steps from the explana...
- 4454 Views
- 2 replies
- 0 kudos
- 0 kudos
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...
- 0 kudos
- 4365 Views
- 3 replies
- 2 kudos
Langchain SQLDatabase not fetching column names from table in Unity Catalog
I am building a text-to-sql agent using Langchain API.I created a SQLDatabase using: db = SQLDatabase.from_databricks(catalog="`my-catalog-name`", schema="my_schema", host="...", api_token="...", warehouse_id="12345678")When I call db.get_table_info(...
- 4365 Views
- 3 replies
- 2 kudos
- 2 kudos
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...
- 2 kudos
- 4338 Views
- 1 replies
- 1 kudos
Advanced RAG Retrieval (Reranking, Hierarchical, etc) in Databricks
Issue with current documentation:I wish to perform advanced RAG using langchain, in Databricks. In the documentation, they tell how to use the vector endpoint url, and index stored in catalogs. But I could not find any advanced RAG algos that are eas...
- 4338 Views
- 1 replies
- 1 kudos
- 1 kudos
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...
- 1 kudos
- 4152 Views
- 1 replies
- 1 kudos
GenAI Cookbook - how to add source documents to output and open pdf file on a page
Hello,I am implementing RAG solution as per Databricks cookbook. Review App is working, references are provided as text chunks.I need to build functionality to open pdf file on a specific page as a reference. Is there a way to change ReviewApp to ope...
- 4152 Views
- 1 replies
- 1 kudos
- 1 kudos
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 ...
- 1 kudos
- 4193 Views
- 1 replies
- 0 kudos
Invoke Azure AI Search Endpoint through Databricks environment
Hi Team,Is there a possibility to invoke Azure AI Search Vector DB endpoint(external) in Databricks environment based on input data in Databricks table.Scenario: Client-Specific documents are already embedded in Azure AI Search Vector DB. Is there an...
- 4193 Views
- 1 replies
- 0 kudos
- 0 kudos
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 ...
- 0 kudos
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