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

🎸 Hands-on tutorial for building RAG applications with LlamaIndex

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!

RAG with Apache Airflow, LlamaIndex, and Qdrant

librerIA Chatbot is a 100% local AI chatbot designed to provide recommendations and answer questions about books using NLP models and a Neo4j database. This is the final project of the Management Information Systems and Business Intelligence course of the Computer Engineering Degree at the University of León.

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

Documentation Helper

AI project based on RAG for custom needs

A simple AgenticAI RAG agent showcasing autonomous reasoning and decision-making by integrating thought, logic, and action in real-time tasks.

Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq

PDF-Q&A-Tool(RAG, LLMs)

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.

This project demonstrates how to create and interact with a query engine using LlamaIndex.

LLM LlamaIndex

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