IEEE

Data Augmentation: Synthetic Image Generation for Medical Images Using Vector Quantized Variational Autoencoders

Abstract: Artificial intelligence (AI) has revolutionized medical imaging, significantly improving diagnostic accuracy via the evaluation of X-rays, MRIs, and CT scans. However, the effectiveness of ...
GitHub

Agentic RAG APP with FastAPI, Ollama and Vue.js UI

The fantastic LangGraph's Agentic RAG moves beyond simple retrieval to intelligent, goal-oriented problem-solving, making it powerful for complex, real-world applications. Agentic RAG improves answer ...
GitHub

WikiRag is a Retrieval-Augmented Generation (RAG) system designed for question answering, it reduces hallucination thanks to the RAG architecture. It leverages Wikipedia ...

└──WikiRag ├─── `app`: the streamlit app ├─── `conda`: all the conda environments ├─── `data`: all the data ├─── `images`: all the images if Any ├─── `notebooks`: all the notebooks if Any ...
TweakTown

KIOXIA's groundbreaking AiSAQ Technology now available in leading open-source vector database

TL;DR: KIOXIA's open-source AiSAQ technology reduces DRAM needs by offloading vectorized AI data to SSDs, enabling scalable, low-latency Retrieval Augmented Generation (RAG) pipelines. Its integration ...