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 ...
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...
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...
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...
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...
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...
Interesting use case, would love to know the answer!
Hello everyone,I am trying to serve a sample RAG chain model that should support streaming output. But I could not find any documantation on how to enable streaming for a serving endpoint for a langchain model. Could you provide some hints on how to ...
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...
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...
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...
Its Resolved https://community.databricks.com/t5/machine-learning/understanding-compute-requirements-for-deploying-deepseek-r1/m-p/109357#M3956
Hello, Databricks Community,I am experiencing an issue while trying to serve a quantized model in gguf format using Databricks serving with the llama-cpp-python library.The model is registered using MLflow and pyfunc on Unity. The model loads without...
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 ...
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...
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....
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!
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 ...
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...
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
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!
I am working on building an agent using the AI Cookbook Agent Template and would like to integrate LangGraph into the agent template. Specifically, I want to build an agent that uses an adaptive RAG chain and an SQL agent. My goal is to implement th...
Hi @aliciachimeno, Please take a look at: https://github.com/databricks/genai-cookbook
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...
Hi, I passed Databricks Certified Generative AI Engineer Associate exam yesterday and I havent received certificate. I verified my accredible account but it is not reflecting. In fact, there are several partner training I did last month and they are ...
Hello @vipintyagi!Your certificate has already been sent. Please ensure you're using the same email ID for your Accredible account as the one used during exam registration.
