Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment.

Intuitive RAG system on top of LllamaIndex

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

RAG using LlamaIndex：Computer Network Q&A System powered by LlamaIndex | 基于 LlamaIndex 框架的计算机网络智能问答系统 - HyDE+混合检索 + vLLM 推理+Ragas评估

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

Stop indexing noise. Turn messy websites and PDFs into clean, structured data for RAG pipelines with semantic importance scoring and token optimization.

A RAG-powered customer support chatbot using LlamaIndex, Ollama, and Streamlit for efficient and accurate query responses.

This repository contains my personal documentation and learning journey through the Hugging Face Agents Course. I'm documenting my progress, notes, and implementations as I work through the course materials.

Knowledge Graph (Graph RAG) from Turkish News with LlamaIndex

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

A project demonstrating the ability to utilize Agentic AI workflows to perform analysis and discovery on aspects of US Healthcare Taxation Laws. Utilizes an underlying RAG framework for Response Generation. Also includes a comparison of LlamaIndex vs a custom framework that makes use of retrieval strategies like Hyde and Multi-Query Transformations

Wikipedia Retrieval-Augmented Generation System with LlamaIndex and GPT-4o

RAG Document Query System with LlamaIndex

Miako solves real conversation challenges: Understands slang, Taglish, and Gen-Z terms naturally while maintaining production-grade performance. This production-ready open-source Compound AI System handles multiple users simultaneously with isolated sessions, all built for affordability and speed.

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!

🎸 Hands-on tutorial for building RAG applications with LlamaIndex

A Jupyter-native AI teaching assistant using agentic RAG, PDF retrieval, and notebook inspection.

Instantly access Anyparser's robust document processing and data extraction capabilities directly within your LlamaIndex workflows. Enhance your AI applications with superior content understanding and data quality.

Experimenting with different kinds of RAGs Systems

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

a template for multi-agent collaboration using chainlit, llamaindex, autogen

This project implements a modular and customizable Retrieval-Augmented Generation (RAG) pipeline, designed to enable question-answering and context-aware response generation using external document knowledge.

No description provided.

AI-powered resume optimizer using LlamaIndex to tailor resumes for specific job roles,LlamaIndex-powered RAG app for job-specific resume optimization.

RAG with Apache Airflow, LlamaIndex, and Qdrant

RAG Q&A IA sur Les Aphorismes d'Hippocrate avec llamaIndex

Llama index demo project

YouTube RAG Research Agent

Development of a AI chatbot (a desktop pet) with persistent & organic cognitive and memory system

AI project based on RAG for custom needs