Hacker News with Generative AI: Retrieval-Augmented Generation

RAGDoll: Efficient Offloading-Based Online RAG System on a Single GPU (arxiv.org)
Retrieval-Augmented Generation (RAG) enhances large language model (LLM) generation quality by incorporating relevant external knowledge.
How to build an agentic, chat or RAG knowledge system using Pinecone Assistant (pinecone.io)
Pinecone Assistant is a powerful service that leverages retrieval-augmented generation (RAG) to enable users to upload documents, ask questions, receive context-aware responses and power agentic workflows.
Show HN: RAGLite – A Python package for the unhobbling of RAG (github.com/superlinear-ai)
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite.
Long Context vs. RAG (jonathanadly.com)
One of the projects I have built is a long-standing retrieval-augmented generation (RAG) application. Documents are saved in a database, chunked into a reasonable amount of text that a large language model (LLM) can handle, and turned into numerical representation (vectors).