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R2R: Advanced AI Retrieval (RAG) System for Multimodal Content Parsing and Combining Knowledge Graph with Hybrid Search - Chief AI Sharing Circle

R2R: An Advanced AI Retrieval (RAG) System for Multimodal Content Parsing and Combining Knowledge Graph with Hybrid Search

Comprehensive Introduction R2R (RAG to Riches) is a state-of-the-art AI retrieval system supporting Retrieval Augmented Generation (RAG) functionality with production-ready features. Built on a containerized RESTful API, the system provides multimodal content parsing, hybrid search capabilities, configurable GraphRAG, and comprehensive...

Megrez-3B-Omni: an end-side multimodal understanding model supporting text, image, and audio multimodal understanding and analysis-Chief AI Sharing Circle

Megrez-3B-Omni: an end-side multimodal understanding model supporting text, image, and audio multimodal understanding and analysis

Comprehensive Introduction Infini-Megrez is an edge intelligence solution developed by the unquestioned core dome (Infinigence AI), aiming to achieve efficient multimodal understanding and analysis through hardware and software co-design. The core of the project is the Megrez-3B model, which supports integrated image, text and audio understanding with high accuracy...

RAGFlow: An Open Source RAG Engine Based on Deep Document Understanding to Provide Efficient Retrieval Enhanced Generation Workflow - Chief AI Sharing Circle

RAGFlow: an open source RAG engine based on deep document understanding, providing efficient retrieval-enhanced generation workflows

Comprehensive Introduction RAGFlow is an open source Retrieval Augmented Generation (RAG) engine based on deep document understanding technology. It provides an efficient RAG workflow for organizations of all sizes, incorporating a large-scale language model (LLM) capable of delivering real-world question-and-answer capabilities based on data in complex formats.RAGFlow...

CrewAI: Multi-Roleplay Collaborative Intelligence Framework to Simplify Complex Tasks - Chief AI Sharing Circle

CrewAI: A Multi-Roleplay Collaborative Intelligence Framework to Simplify Complex Tasks

General Introduction CrewAI is an advanced framework designed to orchestrate collaboration between role-playing and autonomous AI agents. By facilitating collaborative intelligence, CrewAI enables agents to work together seamlessly to solve complex tasks. Whether building intelligent assistant platforms, automating customer service teams, or multi-agent research teams, Crew...

Leffa: high-fidelity model virtual fitting and character pose adjustment, Meta open source controllable character image generation model - Chief AI Sharing Circle

Leffa: High-fidelity model virtual fitting and character pose adjustment, Meta open source controllable character image generation model

Comprehensive Introduction Leffa is a unified framework for generating controllable character images, enabling precise manipulation of character appearance (e.g., virtual fitting) and pose (e.g., pose transfer). The framework significantly reduces distortion of fine-grained details by directing the target query to focus on the correct reference key in the attention layer, while preserving...

MMAudio: generating synchronized sound effects and soundtracks for video footage, a multimodal co-training tool for video to audio - Chief AI Sharing Circle

MMAudio: generating synchronized sound effects and soundtracks for video footage, video-to-audio multimodal co-training tool

General Introduction MMAudio is an open source project aiming at generating high-quality synchronized audio through joint multimodal training. Developed by Ho Kei Cheng et al. at the Chinese University of Hong Kong, the project's main function is to generate synchronized audio based on video and/or text input.The core innovation of MMAudio is...

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