I created an AI Slack bot service that can be deployed to AWS Lambda using Pulumi. During the lifecycle of the request, it chunks documents, generates embeddings, inserts them into a vectordb, and queries the data using a "RAG model" thanks to the high-level abstractions offered by Embedchain. https://github.com/catmeme/arti

@many-telephone-49025 @busy-journalist-6936 ☝🏼

you summoned me

Ooooohhhhhh I likey

I thought so. 🙂

Love it!

Love the tooling setup. Found some nice inspirations in Makefile and auto tag helpers 🙂

Shout out to Joe Duffy for the original auto tag implementation https://github.com/joeduffy/aws-tags-example Makefile entrypoints have been a huge win for our organization, developers appreciate the lower cognitive load going between projects, and it really shines when they move between language stacks.

If you'd like a library for autotagging, I made one 😉 https://github.com/tlinhart/pulumi-aws-tags

Yep. I will use this.