I tried to follow the “Create a Custom Skill for Azure AI Search” but it failed with this error “The request is invalid. Details: The property ‘includeTypelessEntities’ does not exist on type ‘Microsoft.Skills.Text.V3.EntityRecognitionSkill’. Make sure to only use property names that are defined by the type.”
Continue reading “Create a Custom Skill for Azure AI Search” lab failsLearning about RAG and Vector Databases
I am learning about different concepts and architectures used in the LLM/AI space and one of them is Retrieval-Augmented Generation. As always I prefer learning concepts by tinkering with them and here is my first attempt at learning about RAG and Vector Databases.
Continue reading Learning about RAG and Vector DatabasesStreamlit Langchain Quickstart App with Azure OpenAI
While there is a QuickStart example on the Streamlit site that shows how to connect to OpenAI using LangChain I thought it would make sense to create Streamlit Langchain Quickstart App with Azure OpenAI.
Continue reading Streamlit Langchain Quickstart App with Azure OpenAI
Stop pandas truncating output width …
I’m new to pandas (the first time touched it was 45 minutes ago), but I was wondering how can I stop pandas from truncating output width.
You know that annoying ... at the end of a field?!
So there is a magic display.max_colwidth option (and many other wonderful options).
Create a free pod index in Pinecone using Python
Pinecone documentation is quite good, but when I wanted to create a free pod index in Pinecone using Python I didn’t know what parameters I should supply.
Specifically, I couldn’t understand what values would be the values for environment and pod_type
After a bit of digging (looking at the WebUI) here is how to do it
from pinecone import Pinecone, PodSpec
pc = Pinecone(api_key='<<PINECONE_API_KEY>>')
pc.create_index(
name="example-index",
dimension=1536,
metric="cosine",
spec=PodSpec(
environment='gcp-starter',
pod_type='s1.x1'
)
)
More posts related to my AI journey:
“Create a Custom Skill for Azure AI Search” lab fails
Learning about RAG and Vector Databases
Streamlit Langchain Quickstart App with Azure OpenAI
Create a free pod index in Pinecone using Python
Getting ImageAnalysisResultDetails in Azure AI Vision Python SDK
Azure: Invalid user storage id or storage type is not supported
Fix time drift on UTM Windows VM
I mainly use Mac for work, but occasionally need access to a Windows box. I am using UTM to achieve that. I have noticed that if you leave your Windows VM running and then your host Mac goes to sleep (overnight for example), there will be a time drift on the VM. So here is how to fix time drift on UTM Windows VM.
Continue reading Fix time drift on UTM Windows VMMy first GenAI use-case
A couple of months ago my wife asked me if I could build her “something” to create a nice image with some thank-you text that she could send to her boutique customers. This is how my first GenAI use-case was born :-).
There are probably definitely services that can do it, but hey that was an opportunity to learn, so I jumped straight into it.
The Gen AI part turned out to be the easy one, but if you want to skip the rest you can jump straight to it.
Continue reading My first GenAI use-caseGetting ImageAnalysisResultDetails in Azure AI Vision Python SDK
Getting ImageAnalysisResultDetails in Azure AI Vision Python SDK.
Sometimes when using Azure AI Python SDK you will not get the expected result, meaning that the reason property of the result of the analyze method of the ImageAnalyzer class the property will not be equal to sdk.ImageAnalysisResultReason.ANALYZED.
Phew, that’s a mouthful, easier to show it code:
Continue reading Getting ImageAnalysisResultDetails in Azure AI Vision Python SDKAzure: Invalid user storage id or storage type is not supported
I was trying to update my Azure Language service to enable Custom text classification / Custom Named Entity Recognition. That feature requires a storage account. While you are supposed to be able to create the storage account when you enable the feature it didn’t work for me 🙁 (I was getting an “Invalid user storage id or storage type is not supported” error).
Continue reading Azure: Invalid user storage id or storage type is not supportedUse ChatGPT to generate sample monitoring data
I wanted to get some sample data and was too lazy to use generators or to craft it by hand, so I decided to try and use ChatGPT to generate sample monitoring data.
Started with this prompt
act as an application and infracture monitoring platform synthetic data generator. All you responses need to be in a valid JSON format. Generate CPU performance metrics for 5 servers over last 24 hours
The result was actually OK
