- 30814 Views
- 19 replies
- 34 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 ...
- 30814 Views
- 19 replies
- 34 kudos
- 34 kudos
This is an exciting step forward from Databricks! Looking forward to diving into the curriculum and exploring what's next in the world of data + AI! Thanks for sharing @Sujitha
- 34 kudos
- 76 Views
- 2 replies
- 1 kudos
Accessing Knowledge Base from Databricks One
Is it possible to use Knowledge Assistant from Databricks one ?
- 76 Views
- 2 replies
- 1 kudos
- 1 kudos
@Louis_Frolio - thank you, I love the answer, I will try to PoC it, and share my experience
- 1 kudos
- 149 Views
- 2 replies
- 1 kudos
Resolved! Not able to add scorer to multi agent supervisor
Hello,When I try to add scorers to Multi agent endpoint based on the last 10 traces that I have logged and visible in the experiments tab, i get this error.Also, are there any demos which i can refer regarding the tabs within the evaluation bar expla...
- 149 Views
- 2 replies
- 1 kudos
- 1 kudos
Hi @shivamrai162 , Did you add the last 10 traces to the evaluation dataset? You can follow the steps here to make sure you added the traces to the evaluation dataset. To answer your second question, here is a good article that covers the concepts an...
- 1 kudos
- 158 Views
- 1 replies
- 1 kudos
Resolved! Claude Code-Execution Call Format
Is it possible to use the code execution tool with instances of Claude hosted through Databricks? If I try to format the payload like in Anthropic's documentation, I get an error that the function isn't defined properly: tools=[{ "type": ...
- 158 Views
- 1 replies
- 1 kudos
- 1 kudos
Greeting @jmartin1 , The Anthropic “code execution” tool isn’t supported through Databricks’ Foundation Model APIs. Databricks exposes an OpenAI-compatible tools interface, and the only supported tool type today is a function defined with a JSON sch...
- 1 kudos
- 4653 Views
- 3 replies
- 1 kudos
Behavior of Vector Index Sync with Delta Tables When Using OVERWRITE vs MERGE in Databricks
I'm working with vector search in Databricks using vector index sync with Delta tables, and I'm a bit unclear on how updates to the source table affect the vector index, specifically when using different write operations.If I overwrite the source Del...
- 4653 Views
- 3 replies
- 1 kudos
- 1 kudos
From community experience, vector index sync behavior depends heavily on how the Delta table is updated. With OVERWRITE, the table is effectively replaced, so the vector index typically treats this as a full refresh. Existing embeddings are dropped a...
- 1 kudos
- 142 Views
- 2 replies
- 1 kudos
Documentation on all ways to access agent serving endpoint from outside databricks
Struggling to find clear documentation which can help me with the subject. Need to know all the ways (production best practices) along with API method. As far as I know, using PAT is not a production best practice
- 142 Views
- 2 replies
- 1 kudos
- 1 kudos
Hi @Rajat-TVSM You’re absolutely right that Personal Access Tokens (PATs) are not considered a production best practice. For accessing Agent / Model Serving endpoints from outside Databricks, the recommended and supported approach for production is:S...
- 1 kudos
- 195 Views
- 3 replies
- 2 kudos
How do I integrate third-party ML/AI libraries with Databricks GenAI workflows?
How can I use external AI libraries inside my Databricks GenAI projects?
- 195 Views
- 3 replies
- 2 kudos
- 2 kudos
You can use third-party ML/AI libraries in Databricks GenAI by installing them on your cluster or notebook (%pip install library-name), importing them in your code, and then integrating their outputs into your GenAI workflows. For large models, use a...
- 2 kudos
- 200 Views
- 2 replies
- 1 kudos
How do Agentic AI services differ from traditional AI automation tools?
Hi everyone,I’m looking to understand the real difference between Agentic AI services and the traditional AI automation tools many businesses already use.In your experience, what makes Agentic AI services more advanced or effective?Are the advantages...
- 200 Views
- 2 replies
- 1 kudos
- 1 kudos
Hi @Jackryan360, I saw your question on Agentic AI vs traditional automation. Many teams are exploring the same distinction as they shift from rule-based workflows to autonomous, multi-step agent systems. At Kanerika, we’ve been helping companies eva...
- 1 kudos
- 285 Views
- 5 replies
- 2 kudos
ai_parse_document + Genie with ai_query
Hi EveryoneI have used ai_parse_document to process multiple PDFs and store the parsed data in a table (one PDF per row). Later, I ran ai_query in natural language, which correctly scans all rows and returns answers from each PDF.However, when I use ...
- 285 Views
- 5 replies
- 2 kudos
- 2 kudos
I think Genie is not optimized for this use case. Please run some experiments - chunk pdf to use multi-agent supervisor from agent bricks to combine Genie with Knowledge Base (although I haven't yet it yet)
- 2 kudos
- 108 Views
- 1 replies
- 0 kudos
What’s the recommended architecture for integrating Databricks + MLflow + GenAI for model training
If I want to use Databricks, MLflow, and GenAI together, what is the best way to organize and connect them so that I can train AI models and then use them in real apps?
- 108 Views
- 1 replies
- 0 kudos
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Broad question. I will recommend to follow Databricks offical documents and ML Training at their customer portal.Yet, I will try to answer it as belowUse the Databricks Lakehouse as the unified platform, with Unity Catalog (UC) providing centralized ...
- 0 kudos
- 2029 Views
- 6 replies
- 3 kudos
Resolved! ai_parse_document struggling to detect pdf
Hi helpful experts I'm writing my first PySpark Notebook that makes use of the new `ai_parse_document` function. I am basically following the code example from here: https://learn.microsoft.com/en-gb/azure/databricks/sql/language-manual/functions/ai...
- 2029 Views
- 6 replies
- 3 kudos
- 3 kudos
Hello @JN_Bristol,I discovered that ai_parse_document only works when the input is parsed as real Python bytes.The binaryFile format in Spark returns the content as an internal binary type (like a memoryview), and ai_parse_document can’t process that...
- 3 kudos
- 30814 Views
- 19 replies
- 34 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 ...
- 30814 Views
- 19 replies
- 34 kudos
- 34 kudos
This is an exciting step forward from Databricks! Looking forward to diving into the curriculum and exploring what's next in the world of data + AI! Thanks for sharing @Sujitha
- 34 kudos
- 182 Views
- 1 replies
- 1 kudos
Databricks app services
Hi- I have built node.js based chatbot app that uses Azure OpenAI API to build connection and get query answers from it. I am using my organization deployed API on azure that requires cert.pem and cacert.pem certificates to authenticate. everything i...
- 182 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi @Daya3189 , Your local system likely has the organization's certificates installed in the Windows/Mac system trust store, which Node.js (or your browser) can read. On Databricks, the app runs in a secure, isolated Linux container. It has no knowle...
- 1 kudos
- 130 Views
- 1 replies
- 0 kudos
Slow Delta write when creating embeddings with mapPartitions
I’m trying to generate 35k+ embeddings in Databricks. What I’ve tried so far:Per-row UDF (very slow).Replaced UDF with rdd.mapPartitions to batch API calls, create one Azure client per partition, and call client.embed_documents(texts) in batches. Thi...
- 130 Views
- 1 replies
- 0 kudos
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HiYou’ve optimised the embedding side really nicely already, batching in mapPartitions and creating one Azure client per partition is exactly what we recommend.For 35k rows, if embedding is fast but the Delta write/commit is slow, it’s almost always ...
- 0 kudos
- 425 Views
- 3 replies
- 3 kudos
Issue with ai_parse_document Not Extracting Text from Images in PDF
Hello Team,I hope you are doing well.I am a student currently exploring Databricks and learning how to work with the "ai parse document" function. While experimenting, I encountered a couple of issues related to text extraction from images inside PDF...
- 425 Views
- 3 replies
- 3 kudos
- 3 kudos
Thank you for your reply!Yes, I have gone through your article — it explains very well how to extract text content from PDFs. However, I am facing a different issue.In my case, the PDF contains multiple images and paragraphs, but "ai_parse_document" ...
- 3 kudos
- 112 Views
- 1 replies
- 0 kudos
What is the difference between full fine-tuning, LoRA, and p-tuning on Databricks?
How are these three methods different?Full Fine-TuningLoRAP-Tuning
- 112 Views
- 1 replies
- 0 kudos
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Hi @Suheb Summary Table:Method What’s Tuned Speed/Cost Flexibility Use CaseFull Fine-TuningAll model weightsSlow/HighMaximumCustom tasks, large dataLoRASmall adapter layersFast/LowHighEfficient adaptationp-tuningPrompt embeddingsFastest/LowLimitedPro...
- 0 kudos
