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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 ...
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- 22 replies
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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...
- 48 kudos
- 7341 Views
- 6 replies
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Claude Opus not available in Databricks?
https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-modelsOpus is listed here as available model, but I only see Sonnet 4 in Databricks?
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- 6 replies
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Hi @kingn718 , Can you check to see if your workspace is in a supported region? Right now, Opus is only availble in us-east-1, us-east-2 and us-west-2 per https://docs.databricks.com/aws/en/machine-learning/model-serving/foundation-model-overview. If...
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- 4351 Views
- 1 replies
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Multi-Vector Embedding Support
Does Databricks Vector Search support Multi-Vector Embedding?
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- 1 replies
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I believe we can only have one embedding source column mapped to one embedding column.
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- 1585 Views
- 2 replies
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Error when querying RAG serving endpoint
I built a RAG by cloning the databricks example (create a vector search index of databricks documentation and then a RAG).When I try and call the RAG via the serving endpoint from a notebook, I get the following error:dictionary update sequence eleme...
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Hi @mark_goodwin , I believe this has to do with the formatting of the messages. In the serving UI, the formatting is abstracted out for you, but you may need to format it as a list of dictionaries for the invoke() call, such as: messages = [ {"r...
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- 7195 Views
- 4 replies
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How to enable word_timestamps=True when querying a Whisper model deployed in Databricks?
I’ve deployed OpenAI’s Whisper model as a serving endpoint in Databricks and I’m trying to transcribe an audio file.import whisper model = whisper.load_model("small") transcript = model.transcribe( word_timestamps=True, audio="path/to/audio...
- 7195 Views
- 4 replies
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Hi @JoaoPigozzo To enable word_timestamps=True when querying your Whisper model deployed as a serving endpoint in Databricks,you must modify the serving endpoint’s inference logic to accept and process this parameter.1. Update your model serving func...
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- 1431 Views
- 1 replies
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Resolved! AI for educators certificate
Recently I completed the Google generative A.I course for educators. At the start it was mentioned that I will receive a certificate but I didn't got any.. Please help me to get the certificate.
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- 1 replies
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Hello @Nur07! Congratulations on completing the course! Since the course isn’t affiliated with Databricks, I recommend contacting the platform or provider where you enrolled for assistance with the certificate. Let us know if you need help with Datab...
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- 2403 Views
- 2 replies
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Resolved! Compound keys on Genie
Is it just me or Genie´s generated SQL code failes to use composite keys -of the underlying related tables- as its default behavoir, regardless of the model having relationships declared explicitly.Sometimes I have fixed this scenario by using an ins...
- 2403 Views
- 2 replies
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Hi @JYvesLimantour Genie struggles with composite keys by design. A few things that might help:Clearly define your primary and foreign key relationships in Unity Catalog.Add example SQL queries that include composite joins to give Genie better contex...
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- 2272 Views
- 1 replies
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Question about response time by Llama 3.3 70B
Hey everyone !So I'm new into Databricks and I'm learning about the possibilities offered by Mosaic AI Foundation Model Serving. I'm mostly following the Azure's documentation to learn about it.In my testing, I've created 4 unity catalog functions vi...
- 2272 Views
- 1 replies
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Llama 3.3 normally offers faster inference speeds compared to earlier versions. It provides approximately 40% faster responses and reduced batch processing time However, the usual performance for Mosaic AI Model Serving are also influenced by configu...
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- 11284 Views
- 10 replies
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Resolved! Insufficient Permission Error When Serving RAG Model with Multiple Vector Search Indexes
Hi Community,I’m currently working on a Retrieval-Augmented Generation (RAG) use case in Databricks. I’ve successfully implemented and served a model that uses a single Vector Search index, and everything works as expected.However, when I try to serv...
- 11284 Views
- 10 replies
- 7 kudos
- 3636 Views
- 3 replies
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Vector Index format.
On of the key benefits of a delta table format is that it's open. Is this also the case for vector indexes as well? If so where could I find it's specification?In Databricks today, we see that we can create and manage a vector index using API's. (ht...
- 3636 Views
- 3 replies
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HI Team, I am trying to update an existing vector search index with new data which is in another delta table. But i have no luck figuring out how to do it using Python SDK. Can you please hekp point to the right resources?
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- 5758 Views
- 1 replies
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Is It Possible to use genie as tool in agents?
Hello, community,I am currently exploring the agentic workflow surrounding Genie and would like to know if there are ways to effectively integrate or incorporate Genie as a tool within my existing agentic workflow. I am open to utilizing frameworks s...
- 5758 Views
- 1 replies
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You may find this useful for your use case - https://gist.github.com/prithvikannan/82e789730c2fceec11932816bda50e59
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- 3801 Views
- 1 replies
- 1 kudos
Resolved! AI/BI Genie Space - 20 QPM
Hi Databricks Community,I'm working with Genie Spaces and came across the documented limit of 20 questions per minute per workspace. Could someone please confirm whether this is a soft limit, and if it can be relaxed or increased upon request through...
- 3801 Views
- 1 replies
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Hello @Rumesh! The 20 questions per minute per workspace limit is fixed. To double-check for enterprise or production use cases, I recommend contacting your Account Executive or Databricks Support to confirm or explore possible options.
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- 5044 Views
- 2 replies
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Databricks Serving Endpoint 400 Error: Model Response Format Issue while langgraph tool calling
Dear Databricks Community,I am seeking assistance with an issue I've encountered while deploying a model on Databricks. When invoking the serving endpoint, I receive the following error message sometimes:400 Client Error: Error: Model response did no...
- 5044 Views
- 2 replies
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Same issue here... developing a langraph tool-calling agent, and for certain (but not all) questions, I get the same error.Any luck resolving?
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- 965 Views
- 1 replies
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Compute Claster Creation Failing
Everytime we try to roll out compute cluster it fails.
- 965 Views
- 1 replies
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Hey @SomLTIM , Can you provide any additional information here to help troubleshoot? It would be helpful to know the region, cloud, error message, and any configurations you can provide on the cluster.
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- 3045 Views
- 1 replies
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Unable to read message from Genie Conversation API
Hi Team,I am facing issue in getting the message details from the genie conversation API. I have created the conversation, which returns the message ID and conversation ID. But I am unable to see the message. I am getting error, when hitting the Get ...
- 3045 Views
- 1 replies
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@RitikaKulshrest I can see what's happening with your Genie conversation API issue. The problem is not with your API call but with the Genie service's attempt to execute your query.The response indicates that your message was received but failed to p...
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- 2432 Views
- 3 replies
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Genie Agent integration issue
Hi, anyone from development team for Genie Agent integration? i had an issue of using sample code of Genie Agent integration. The issue is that underlying code (databricks_ai_bridge/genie.py) cannot connect to url openaipublic.blob.core.windows.net ...
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You're absolutely right. The implementation should definitely take restricted network scenarios into consideration, as many enterprise Databricks deployments operate in air-gapped or network-restricted environments.Commenting out the token counting l...
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