We’ve used a gamified approach to showcase how Retrieval Augmented Generation enables businesses to use Large Language Models in combination with their company data. Based on the popular board game Who-Is-It?, we created a demo.
You want to ship the very same code you have tested from test stage to production stage. But most of the time a CICD pipeline re-creates the code to deploy to production. So you do not deploy the tested code! With the AWS Lambda transport tool you can move the very same code you have tested to production or between stages in different accounts.
I need to start this blog post with a confession. But only if you promise to not tell anything to my tecRacer colleagues, deal? So, I built a monolith. And I loved it. And you will likely love it too if you decide to try out Laravel. Luckily, there is a service called Vapor that will let you deploy your Laravel project on serverless AWS infrastructure. That means I can continue to enjoy the top-notch developer experience of Laravel while also getting all the benefits of serverless technologies (plus, I can maintain a healthy relationship with my colleagues 🎉). But let’s start at the beginning.
RAG is a way to approach the “hallucination” problem with LLM: A contextual reference increases the accuracy of the answers. Do you want to use RAG (Retrieval Augmented Generation) in production? The Python langchain library may be too slow for your production services. So what about serverless RAG in fast GO Lambda?
Lambda GO runtime is deprecated until the end of 2023. The new default custom Amazon Linux 2 runtime really speeds things up for GO. Now the cold-start is 2x faster than Python and 3x faster than node!
You like Lambda testevents? Great! But with “automate everything”, manual console clicks are considered dirty! Keep your hand clean by automating the creation of Lambda test events. So you can give your team, and yourself prepopulated test events. This example shows you the terraform code - because this is the fastest way. With a little effort, you can translate it to CloudFormation or AWS-CDK!
Serverless - a Use Case for CloudFormation Modules? Let´s agree to “infrastructure as code” is a good thing. The next question is: What framework do you use? To compare the frameworks, we have the tRick-benchmark repository, where we model infrastructure with different frameworks. Here is a walk through how to use CloudFormation Modules. This should help you to compare the different frameworks.
Deploy your selfhosted serverless XWiki now! There are many ways to get your own, truly private and selfhosted, wiki in the exciting cloud computing times. SaaS solutions exists and many OpenSource Software can be hosted on virtual machines or even hardware. But what is the best way to deploy such Wiki on your AWS Account? This blog post shows you how to operate a deployment of XWiki without harming any servers.
