Issue with Passing Parameters from "Page" to "Playbook" in Conversational Agent project
Hi everyone,I'm currently working on a conversational agent to create a seamless chat experience. My goal is t...
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Hi everyone,I'm currently working on a conversational agent to create a seamless chat experience. My goal is t...
Hello, I am working on passing the parameters from Flows to Playbook, I tried with all different methods and b...
Hello everyone,I'm getting this error whenever I try the demo of chatbot...it does not load and says in the co...
Hi Team, recently seen a post some hours ago regarding this situation, I have checked on my side and Dialogflo...
Hello! When I initiate training on my projects I am getting a very slow response. The training starts and you ...
Hope this is the right board as did not find one for genAI or Gemini or NotebookLMWe have users that want insi...
Hello,I want to process DOCX/PDF files stored in GCP storage with Document AI full OCR processor and at run ti...
Hi,Currently i'm playing with the python genai package for Imagen3 image editing.Although I can apply prompts ...
Help me guys for deploying llam2 fine tune in vertex ai . i have t4 gpu support with tesla . even wit the samp...
Keep getting this error “ Others may have made recent changes to the example. Please refresh your CX console t...
Vertex generative models provide custom metadata labels (for requests) but embedding models don't. Does anyone...
I am on a paid plan and have been using the grounding feature with gemini-2.0-flash (config["tools"] = [{"goog...
I've integrated gemini api into a project of mine and sending prompts with images.I am on the free tier, and t...
So, for a single sentence I'm getting latencies of nearly 3,000ms... Is this normal? I've noticed Google quali...
We have a notebook A.ipynb which imports a module B.py.Running A.ipynb from the Vertex AI Workbench works fine...
I am using Dialogflow Messenger on my site, but now it is not working. I also tried it directly on the site, b...
On the odd occasion imagen 3.0 fails to generate an image when using the API due to resource exhaustion or gen...
I'm feeling a bit desperate with my Dialogflow agent. I'm connecting to it through Twilio. I make calls, and i...
Hi google!I still don't see an option to request to increase imagen 3 limitations and this is very important t...
Hey y'all. Pretty new to Gemini, so pardon ahead of time if I'm just being an idiot. I do that sometimes.Probl...
I started to train a AutoML image classifier on Vertex AI. The data set is just about 36 images of dogs and fl...
In a Conversational Agents playbook that is called from a flow with input parameters including age and locatio...
I"m trying to provision Vertex AI workbench using the already existing service account using terraforming scri...
Hi All,I am trying to extract values from a financial document using Google Vision OCR and for an unknown reas...
I am using Dialog flow Messenger on my site, but now it is not working. I also tried it directly on the site, ...
Estamos experimentando un error con los bots de Dialogflow al momento del despliegue. Según estuvimos investig...
i have a google ai studio compatible dataset, I want to train gemini 1.5 pro on vertex on the same dataset, wh...
Google "Speech to text" solution started transcribe numbers as digits instead of words. For example, return "1...
Problem encountered: The Cantonese language is either not getting detected or is being detected incorrectly in...
I am trying for more than two days to open a technical ticket and is not possible.....What I should try furthe...
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In our previous blog posts (1, 2, 3 and 4), we explored how Agent Builder can intelligently answer questions from BigQuery and unstructured data stores via chat or search bot. However, things get trickier when we need to address analytical queries that involve aggregations, comparisons, and more complex conditions.
Building and scaling your own AI agent can seem complex, but it doesn't have to be! HuggingFace’s smolagent library provides a lightweight framework to build powerful agents.
JSON (JavaScript Object Notation) is a lightweight, text-based data format designed for human readability and easy machine parsing. A big advantage of using JSON data in BigQuery is that BigQuery treats JSON as semi-structured data, meaning you don't need a fixed schema upfront.