This repository provides a flexible and customizable implementation of an advanced conversational AI agent, allowing you to leverage the capabilities of your preferred LLM provider without the need for additional libraries.

An example of how to integrate Discord.py and MongoDB

This project utilises the features of the YouTube Data API to retrieve data from YouTube channels, playlists, videos, and comments and store it in a data lake. It also interacts with a PostgreSQL database to store the retrieved data.

Backend service for Retrieval-Augmented Generation (RAG) using AWS Bedrock, Superduper, and MongoDB Atlas Vector Search.

Backend REST API for Tagfolio, a Final Year Project (FYP) for Bachelor of Science in Computer Science, Department of Computer Science and Software Engineering, Islamabad Campus, Comsats University Islamabad