A Retrieval-Augmented Generation (RAG) application for querying legal documents. It uses PostgreSQL, Elasticsearch, and LLM to provide summaries and suggestions based on user queries. Features data ingestion with Airflow, real-time monitoring with Grafana, and a Streamlit interface.

Chat with PDF lets you ask questions to PDF documents. Built and deployed with NuxtHub, and powered by Cloudflare Workers AI and Vectorize.

My attempt at implementing retreival augmented generation on Ollama and other LLM services using chromadb and langchain while also providing an easy to understand, clean code for others since nobody else does

👨🏻‍💻 Meet Lumina – my personal AI assistant powered by hybrid RAG with Pinecone vector search and Neo4j graph traversal, Google AI, LangChain, and an MCP server with 30+ tools. Features real-time streaming, conversation branching, and a multi-agent agentic AI pipeline for intelligent, grounded responses with inline citations.

A new novel multi-modality (Vision) RAG architecture

A collection of AI tutorials from Dr. Ashish Bamania

Dockerized RAG mentoring system for Moodle LMS with semantic search and Jenkins CI/CD on AWS.

An advanced AI-powered research assistant system built for flexibility, extensibility, and user control. Thoth combines intelligent automation with comprehensive customization — every prompt, schema, and source can be tailored to your workflow.

RAG with web search, self correction, gap detection and query loops

A very CPU-friendly RAG implementation

This project is an innovative coffee shop application designed to bring an engaging and personalized experience to coffee lovers. The app leverages AI-powered agents for chat-based interactions and integrates modern web and mobile development techniques to provide seamless ordering and delivery services.

Production-ready RAG movie recommender with multi-agent architecture, OpenAI embeddings, and conversational web UI. Ask naturally about movies - get intelligent recommendations instantly!

The goal of this project is to develop a RAG system using Agent from LangGraph to improve the travelling experience of tourists.

This is a a hands-on course teaching GenAI Foundations including Deep Learning, NLP, LLMs, Prompt Engineering, Fine Tuning, RAG, and Optimization (distillation, pruning, and quantization).

Partition API used by Agentset

A RAG based LLM assistant for australian first home buyers

This repository contains an end-to-end Retrieval-Augmented Generation (RAG) system that leverages Deepseek and Ollama to provide intelligent responses based on any pdf content.

High-performance RAG system for intelligent document Q&A with hybrid retrieval, GPU acceleration, and citation-backed answers. Upload docs, ask questions, get precise responses.

Personalized Daily Research Paper Recommender

A 100% private, fully local AI-powered document summarization and Q&A platform. Your documents never leave your machine - everything runs locally using Ollama and open-source models.