This project is a multi-functional AI toolkit that integrates LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, multimodal AI, and agent-based reasoning. It includes a RAG pipeline with FAISS ...

But don’t worry—there’s good news. Two clever techniques, Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG), are stepping in to fill these knowledge gaps in ways that ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Google researchers introduced a method to improve AI search and assistants by enhancing Retrieval-Augmented Generation (RAG) models’ ability to recognize when retrieved information lacks ...

This article explores four key methods—prompting LLMs, building retrieval-augmented generation (RAG) systems, fine-tuning LLMs and developing AI agents—and evaluates their role in shaping the ...

Retrieval-augmented generation (RAG) has emerged as a powerful paradigm for enhancing the capabilities of large language models (LLMs). By combining LLMs’ creative generation abilities with retrieval ...

RAG通过引入外部知识库，检索相关信息来增强模型的输出，从而解决这些问题。 在AI应用爆发的时代，RAG（Retrieval-Augmented Generation，检索增强生成）技术正逐渐成为AI 2.0时代的“杀手级”应用。它通过将信息检索与文本生成相结合，突破了传统生成模型在知识 ...

East Anglia's Children's Hospices (EACH), which has 52 charity shops across Norfolk, Suffolk, Essex and Cambridgeshire, said prices for the clothing - known as "rag" - had plummeted by up to 73% ...