Generative-AI-Digital-Assistant-w-RAG (Agent-Nesh 🤖) Agent-Nesh is a Retrieval-Augmented Generation (RAG)-based multi-modal AI assistant that leverages advanced AI models to provide intelligent, context-aware responses to various types of input including text, images, code, and voice. This ...
In this course, Multi-modal RAGs, you’ll gain the ability to design and adapt RAG systems for multi-modal applications. First, you’ll explore how to prepare and preprocess text data for RAG. Next, you’ll discover how to prepare and preprocess image data for RAG. Finally, you’ll ...
Files main LaTeX-OCR-with-Llama ai_news_generator autogen-stock-analyst content_planner_flow document-chat-rag llama-ocr local-chatgpt multi-modal-rag clip.ipynb mm_prompting.ipynb openai-swarm-ollama rag-with-dockling real-time-voicebot resources LICENSE README.md...
图像RAG：除了在生成文本前检索图像外，一些研究利用多模态知识库检索图像-文本对，以促进图像生成。例如...
检索增强生成(RAG):增强AI的理解和产出 在人工智能领域,"检索增强生成"(RAG)作为一种变革性技术脱颖而出,完善了大型语言模型(LLM)的功能。从本质上讲,RAG 允许模型从外部来源动态检索实时信息,从而增强了人工智能响应的特异性。 大型语言模型(如 GPT-3)在生成类人语言方面表现出色,但在提供最新信息或特定领域信息...
本项目基于书生浦语🌟InternLM2模型,通过构造生成训练数据,采用Xtuner微调的方式,打造了一个王者荣耀领域的角色扮演聊天机器人--峡谷小狐仙,同时结合🌟ASR技术实现语音输入、🌟RAG 检索增强生成技术实现生成王者英雄有关信息、🌟TTS技术实现声音克隆和语音输出、🌟数字人技术实现了视频输出功能。峡谷小狐仙将王者荣...
Framework Next.js Use Case AI CSS TailwindRadix UI Vercel AI SDK useChat with Attachments Example This example demonstrates how to use theVercel AI SDKwithNext.jswith theuseChathook to create a chat interface that can send and receive multi-modal messages from the AI provider of your choice....
ChromeDB 和 Hugging Face 等开源技术的力量，创建一个高效的 RAG 系统。
It provides advanced RAG (Retrieval Augmented Generation) capabilities with multi-modal support, knowledge graphs, and intuitive APIs. Built for scale and performance, Morphik can handle millions of documents while maintaining fast retrieval times. Whether you're prototyping a new AI application or ...
. M3DocRAG finds relevant documents and answers questions using a multi-modal retriever and an MLM, so that it can efficiently handle single or many documents while preserving visual information. Since previous DocVQA datasets ask questions in the context of a specific document, we also present ...