# \[GSoC 2026\] AI-ChatBot-Quick-access-jenkins-Resources - Local Setup & Progress **URL:** \ **Category:** GSoC\ **Created:** [March 19, 2026, 9:37am UTC](https://community.jenkins.io/t/gsoc-2026-ai-chatbot-quick-access-jenkins-resources-local-setup-progress/36562 "2026-03-19T09:37:43Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![FlashAdking](https://dub1.discourse-cdn.com/flex013/user_avatar/community.jenkins.io/flashadking/32/16290_2.png) [@FlashAdking](https://community.jenkins.io/u/FlashAdking)\ **Post date:** [March 19, 2026, 9:37am UTC](https://community.jenkins.io/t/gsoc-2026-ai-chatbot-quick-access-jenkins-resources-local-setup-progress/36562/1 "2026-03-19T09:37:44Z")
Hi everyone, I wanted to share a quick progress update. I have successfully set up the current chatbot plugin locally to get a hands-on understanding of the architecture and data workflow. The existing Makefile was a huge help and made the setup process flawless. Walking through the entire pipeline from converting raw data into chunks to generating embeddings gave me a very clear picture of how the bot currently operates under the hood. I’ve also tested several chatbot responses. The baseline is working well, but during testing, I did notice high latency in the responses. This might just be due to my local system configuration and GPU limits, but it gave me some ideas for optimization. I have some additional features in mind to help improve things like response speed, and I am currently drafting a technical map. My goal is to figure out how to implement these smoothly so they fit the current system without breaking the existing codebase. I have attached some screenshots of my local setup below. If anyone has suggestions or feedback, please guide me! Thanks, Aditya ![Screenshot from 2026-03-19 15-02-32](https://europe1.discourse-cdn.com/flex013/uploads/jenkins/original/3X/f/c/fc5e83483073a55fd5364984a5592b2b9998549e.png)