Hacker News with Generative AI: Question Answering

Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine (arxiv.org)
Biomedical knowledge is uniquely complex and structured, requiring distinct reasoning strategies compared to other scientific disciplines like physics or chemistry.
Show HN: Airgapped Offline RAG – Run LLMs Locally with Llama, Mistral, & Gemini (github.com/vincentkoc)
This project by Vincent Koc implements a Retrieval-Augmented Generation (RAG) based Question-Answering system for documents. It uses Llama 3, Mistral, and Gemini models for local inference with LlaMa c++, langchain for orchestration, chromadb for vector storage, and Streamlit for the user interface.
Show HN: Quilt – Powerful RAG UI for Document QA (quilt.fly.dev)
OpenEQA: Embodied Question Answering in the Era of Foundation Models (open-eqa.github.io)