Planning To Resolve Automatic Feedback Loop

#webdev #python #ai #rag

Introduction

One of the things that I have learned during my Open-Source Journey, is that this domain is filled with experiences, which will not only level up my skills as a Developer but would also give me a chance to work on technologies that I would've worked at a Big Company

To broaden my horizon of tech-stack, I looked out for another issue that would enhance my skills as a Developer, I saw this repository called ORAssistant

Why this Repo

I have always wanted to work on AI applications that are industry standard or have industrial standard designs, and this repository is a RAG-based application

At first glance over this repo, I knew it was a match made in heaven, the amount of details that the maintainers have highlighted in the architecture of this application is gigantic.

This is one of the diagrams explaining the architecture

I have always wanted to see how the designs behind such apps look like

This was my first time seeing a design like this and I loved it.

All in all, my passion for learning more about AI design was the one that attracted me to this project

Issue and My Approach

I have talked about the issue in one of my previous blogs, you can go and check it out for a comprehensive overview of the issue that I am dealing with

For this issue, my first PR for this project was to deal with the MongoDB design, again I have given a comprehensive report for the same in my previous blog

I am working on getting my second PR merged which is related to adding the MongoDB functionality to the existing Feedback functionality,

My approach to this is to add to the existing functionality without breaking the previous code and testing it out to see if it's working as expected

This is my second PR contribution to this project and so far I have loved every moment of it, there's just too many things to learn and develop

Conclusion

Contributing to the ORAssistant project has been a remarkable learning experience that aligns perfectly with my passion for AI design and development. It has not only deepened my understanding of industry-standard architectures but also allowed me to tackle real-world challenges. This journey has truly reinforced my enthusiasm for open-source development and its ability to foster growth and innovation.

How to reduce TTFB

In the past few years in the web dev world, we’ve seen a significant push towards rendering our websites on the server. Doing so is better for SEO and performs better on low-powered devices, but one thing we had to sacrifice is TTFB.

In this article, we’ll see how we can identify what makes our TTFB high so we can fix it.