Pinecone Open-Sources AWS Reference Architecture with Pulumi

The massive (and contextually irrelevant) AI generated images every other paragraph remind me of setting line spacing to 2.2 in order to hit the minimum number of pages for your school essay.

Other day i was trying out Azure SQL for storing vector DB. After a POC i was able to get results on sub 1 second to get the results with 2 core serverless instance. It begs me to reconsider does dedicated Vector db really worth it ? Here is the article on how to store and query vector data <a href="https:&#x2F;&#x2F;devblogs.microsoft.com&#x2F;azure-sql&#x2F;vector-similarity-search-with-azure-sql-database-and-openai&#x2F;" rel="nofollow noreferrer">https:&#x2F;&#x2F;devblogs.microsoft.com&#x2F;azure-sql&#x2F;vector-similarity-s...</a>

Now THAT is developer advocacy-- a reference architecture and a complete video series. I&#x27;m intrigued by the fact that Typescript was chosen for this work. Are you finding that clients are rolling out ML architectures based on Typescript microservices?

Pinecone’s aggressive marketing here on HN is getting really old.

As someone interested in kicking the tires of VectorDBs, where does Pinecone rank? Is there one that will be &quot;future proof&quot;?

Sounds silly to go to a vector DB vendor to get reference architecture for my app where it will only be a small part of my app.

Why is this on the main page? Just a few paragraphs of text with autogenerated images, and the contents feels like LLM-generated, too.

Anyone have good experience with Pulumi? The IaC space feels a bit crowded