Q Vector Art Vector Vector Vector Vector Vector Vector

GitHub Repo https://github.com/eyalfish/ARTOVeQ

eyalfish/ARTOVeQ

Adaptive Rate Task-Oriented Vector Quantization (ARTOVeQ), a learned compression mechanism that is tailored for remote inference over dynamic links. ARTOVeQ is based on designing nested codebooks along with a learning algorithm based on progressive learning.

GitHub Repo https://github.com/quantum-vector-io/quantum_vector_artifacts

quantum-vector-io/quantum_vector_artifacts

🌌 Quantum portfolio showcase with 4D tesseracts, particle physics & glassmorphism UI. Drop .jsx files → auto-deploy coding artifacts in a mesmerizing 3D cosmos. Built for AI-Human collaboration experiments. React + Three.js magic ✨

GitHub Repo https://github.com/edsonlourenco/Vector-Brain

edsonlourenco/Vector-Brain

This project showcases how to build an intelligent chatbot using LLMs and PDF document vectorization. The goal is to enable contextual Q&A over a technical e-book using state-of-the-art AI.

GitHub Repo https://github.com/kaushikchaturvedula/semantic-query-engine

kaushikchaturvedula/semantic-query-engine

A semantic text indexing and retrieval system designed for large-scale datasets in domains like healthcare, using state-of-the-art embedding models and scalable vector search technologies.

GitHub Repo https://github.com/aquacommander/VectorBrain

aquacommander/VectorBrain

⭐This project showcases how to build an intelligent chatbot using LLMs and PDF document vectorization. The goal is to enable contextual Q&A over a technical e-book using state-of-the-art AI⭐

GitHub Repo https://github.com/shaadclt/Ed-Tech-Company-QA-Assistant

shaadclt/Ed-Tech-Company-QA-Assistant

This project is a QA (Question-Answering) assistant designed for an Ed-Tech company. It leverages vector databases, state-of-the-art language models, and custom document embeddings to provide accurate responses to user queries based on a pre-defined knowledge base.

GitHub Repo https://github.com/Fredrick219/PDF-QUERY

Fredrick219/PDF-QUERY

This project offers a Python-based solution for analyzing text content within PDF documents using state-of-the-art language models and vector search. It combines the power of Langchain for natural language processing, Pinecone for vector search databases, the OpenAI API for advanced language understanding, and PyPDF for PDF processing.

GitHub Repo https://github.com/vishnu1121/AI-Chat-with-Article

vishnu1121/AI-Chat-with-Article

Streamlit-based RAG app that takes an article URL/PDF, extracts and chunks the text, indexes it in a persistent FAISS vector store using OpenAI embeddings, and generates grounded summaries/Q&A via a Map-Reduce LLM pipeline (Top-K retrieval → chunk summaries → final consolidated answer).

GitHub Repo https://github.com/spheres-lab/qecd-pixel-logo

spheres-lab/qecd-pixel-logo

Official pixel art logo generator for the QECD Lab. A Python script using Matplotlib to render a vector-based 'C' with a custom Blue-Red-Yellow gradient representing Quantum Chromodynamics color charges

GitHub Repo https://github.com/Cyrus2709/News_Article_Q-A_System_RAG

Cyrus2709/News_Article_Q-A_System_RAG

A project designed to explore the power of Retrieval-Augmented Generation (RAG) using OpenAI's API and ChromaDB. By embedding documents into a vector space and retrieving relevant context for GPT-3.5-Turbo, it significantly reduces hallucinations often observed in traditional LLM outputs.