Chat with PDF lets you ask questions to PDF documents. Built and deployed with NuxtHub, and powered by Cloudflare Workers AI and Vectorize.
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Updated
Jun 17, 2025 - TypeScript
Chat with PDF lets you ask questions to PDF documents. Built and deployed with NuxtHub, and powered by Cloudflare Workers AI and Vectorize.
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.
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
A new novel multi-modality (Vision) RAG architecture
👨🏻💻 Meet Lumina – my personal chatbot assistant designed to answer any questions, either about me or any other topics. Powered by Retrieval-Augmented Generation (RAG), LangChain, kNN cosine similarilty search, and Pinecone vector database, Lumina offers intelligent, accurate, and speedy responses tailored for all conversations.
A collection of AI tutorials from Dr. Ashish Bamania
RAG with web search, self correction, gap detection and query loops
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.
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.
Partition API used by Agentset
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).
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.
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.
Personalized Daily Research Paper Recommender
Sementic chunking algorithm in (mostly) Go
RAG Chatbot built using Cloudflare's AI model.
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