I’m seeing a difference in citation behavior between a single Knowledge Assistant (KA) agent and the Multi‑Agent Supervisor setup.What I testedIn Agent Bricks → Knowledge Assistant, I created an agent that returns citations with links (e.g., url_cita...
I have created a mcp connection from marketplace :Conn Name : mcp_brightdata_web_surfermcp product url : https://brightdata.com/I have attached the mcp through playground . But while submitting the prompt I am getting the following error .Error : The...
Based on the error, which is a "502 Bad Gateway" error indicates that a server sitting as a gateway or proxy received an invalid response from an upstream server. Here, Databricks is trying to communicate with the external MCP server associated with...
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...
Overwriting a Delta table versus using a MERGE operation has different impacts on Databricks vector index sync, especially when Change Data Feed (CDF) is enabled and your embeddings are generated via Azure OpenAI models. Overwrite Mode When you overw...
I deployed a streamlit app on Databricks cluster but the libraries in the requirments.txt file were not installed when the app is deployed. I'm getting this error when a function that uses OpenAI is called."ImportError: Could not import openai python...
Hi @data_scientist3 , Would you share how you deployed the Streamlit app (Databricks Apps vs running Streamlit from a notebook/job cluster) and your cluster’s Databricks Runtime version? That’ll help me tailor the exact steps to your setup. Option 1:...
So I am creating a POV on Databricks' agentic capabilities and wanted to showcase its abilities through a simple change pipeline.A user asks for changes in a specific table in a schema -> based on metadata info from our lake table info is received ->...
Yes, it’s viable — Databricks’ in-house agents can handle that workflow if you define each stage as callable Python tools. The key is robust function design and proper metadata access. However, you might find integrating Unity Catalog and Git integra...
Hi community,Use Genie in multi-agent systems | Databricks DocumentationI’ve developed a multi-agent Genie in Databricks and integrated it with vector indexes. The setup works fine during model logging and prediction. The system successfully register...
Hi @Karthik_Karanm - Can you ensure to add the Genie in the resources as mentioned in the TODO of the cell. To enable automatic authentication, specify the dependent Databricks resources when calling mlflow.pyfunc.log_model(). TODO: If your Unity Ca...
Does Databricks Vector Search support Multi-Vector Embedding?
I believe we can only have one embedding source column mapped to one embedding column.
Does Databricks Vector Search support vector quantization?
Hi SaiVihAIIn my opinion, Databricks utilizes Mosaic Vector Search, which is largely aided by the Hierarchial Navigable Small World (HNSW) algorithm for neighbor search and hybrid keyword similarity search.Ref Mosaic AI Vector Search | Databricks D...
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...
