Hacker News with Generative AI: Question Answering

Ask HN: How are you reading (nonfiction) books/pdfs in 2025? (ycombinator.com)
Everytime I start reading a book, I feel like uploading it in NotebookLM/ChatGPT to get QA; but these don't let me read in their app, and its not easy to get digital copies of books. I also want to ask questions adjacent to what I'm reading easily; I wonder if there are great apps/hacks people have for this.
KAG – Knowledge Graph RAG Framework (github.com/OpenSPG)
KAG is a logical reasoning and Q&A framework based on the OpenSPG engine and large language models, which is used to build logical reasoning and Q&A solutions for vertical domain knowledge bases.
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)