This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.

Intuitive RAG system on top of LllamaIndex

Experimenting with different kinds of RAGs Systems

Utilizes the Nike_Catalog document for answering queries regarding price, category, etc

Оптимизированная RAG-система с LLama2. Выполнена в рамках учебного проекта. Весь код содержит подробные комментарии и подходит для изучения основ систем LLM.

RAG chatbot built with a semi-automated LLMOps pipeline that scrapes GitHub README.md files for project ideas and insights, using LlamaIndex, Docker, Airflow, and AWS.

Documentation Helper

Research-Paper-Q&A-Tool

AI project based on RAG for custom needs

Ever wished you could chat with your PDFs like they're your personal sidekicks? Now you can! This wild project lets you ask your documents questions and get real-time answers. Powered by LlamaIndex and Next.js, it's basically turning your files into chatty little helpers. Let's talk docs!