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:
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 VM →
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-case →
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 SDK →
Infrequent Smarts by Reshetnikov
