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Tags :Knowledge Retrieval with RAG Framework

wdoc: retrieving content and summarizing knowledge from massive, multi-source documents - Chief AI Sharing Circle

wdoc: retrieve content and summarize knowledge from massive, multi-source documents

Comprehensive Introduction wdoc is a powerful RAG (Retrieval Augmentation Generation) system designed for processing and analyzing large and diverse documents. It is capable of retrieving from a wide range of document types, including PDFs, web pages, YouTube videos, audio files, etc. wdoc is particularly well suited for processing large amounts of information sources, and is research...

Simba: knowledge management system for organizing documents, seamlessly integrating into any RAG system - Chief AI Sharing Circle

Simba: Knowledge management system for organizing documents, seamlessly integrated into any RAG system

General Introduction Simba is a portable Knowledge Management System (KMS) designed to integrate seamlessly with any Retrieval Augmentation Generation (RAG) system. Created by GitHub user GitHamza0206, the project provides an efficient knowledge management solution for a variety of application scenarios.Simba was designed with the goal of...

Byte Jump's free programming assistant, Trae, is open for Windows download! Everyone can develop their own gadgets, the era of universal programming is coming!

China's Cursor ! Byte Jump launches Trae with powerful AI models like Claude 3.5 Sonnet and GPT-4o built-in! Want to batch watermark images with one click? Want to customize your own Excel automation scripts? Want to build an online resume website in ten minutes? Trae AI can help you realize all these for free! Experience Trae AI without any programming foundation, and let AI help you develop utilities easily and increase efficiency by 10 times! Click on the free trial, say goodbye to duplication of labor, welcome the explosion of efficiency, so that your ability to instantly realize!

LocalPdfChatRAG: Intelligent chat tool supporting local multi-source PDF document Q&A - Chief AI Sharing Circle

LocalPdfChatRAG: Intelligent Chat Tool to Support Local Multi-Source PDF Document Q&A

Comprehensive Introduction LocalPdfChatRAG is an open source project that aims to implement intelligent chat functionality by combining local PDF documents and Retrieval Augmented Generation (RAG) models. The project allows users to upload PDF documents and ask questions through natural language to get relevant information from the document.LocalPdfChatRA...

Deep Searcher: Efficient Retrieval of Enterprise Private Documents and Intelligent Q&A-Chief AI Sharing Circle

Deep Searcher: Efficient Retrieval of Enterprise Private Documents and Intelligent Q&A

Comprehensive Introduction Deep Searcher is a tool that combines powerful big language models (e.g., DeepSeek and OpenAI) and vector databases (e.g., Milvus) designed to search, evaluate, and reason based on private data, providing highly accurate answers and comprehensive reports. The program is suitable for enterprise knowledge management...

VideoRAG: A RAG Framework for Understanding Ultra-Long Videos with Support for Multimodal Retrieval and Knowledge Graph Construction-Chief AI Sharing Circle

VideoRAG: A RAG framework for understanding ultra-long videos with support for multimodal retrieval and knowledge graph construction

Comprehensive Introduction VideoRAG is a retrieval-enhanced generative framework designed for processing and understanding very long contextual videos. The tool combines a graph-driven textual knowledge base with hierarchical multimodal context encoding to efficiently process hundreds of hours of video content on a single NVIDIA RTX 3090 GPU.Video...

PRAG: Parameterized Retrieval Augmentation Generation Tool for Improving the Performance of Q&A Systems - Chief AI Sharing Circle

PRAG: Parameterized Retrieval Augmentation Generation Tool for Improving the Performance of Q&A Systems

Comprehensive Introduction PRAG (Parametric Retrieval-Augmented Generation) is an innovative retrieval-augmented generation tool that aims to enhance the generation effect by embedding external knowledge directly into the parameter space of a Large Language Model (LLM). The tool overcomes the traditional contextual retrieval-augmented generation method of ...

ColiVara: Visual Embedding Based Document Storage and Retrieval Service - Chief AI Sharing Circle

ColiVara: Visual Embedding Based Document Storage and Retrieval Service

General Introduction ColiVara is a document storage and retrieval service based on visual embedding technology. It eliminates the need for Optical Character Recognition (OCR) or text extraction and avoids the problem of broken forms or lost images.ColiVara supports over 100 file formats including PDF, DOCX, PPTX, etc. and is able to automatically...

UltraRAG: One-stop RAG system solution to simplify data construction and model fine-tuning - Chief AI Sharing Circle

UltraRAG: A One-Stop RAG System Solution to Simplify Data Construction and Model Fine-Tuning

Comprehensive Introduction UltraRAG is a RAG (Retrieval Augmented Generation) system solution jointly proposed by the THUNLP group at Tsinghua University, the NEUIR group at Northeastern University, Modelbest.Inc and the 9#AISoft team. The framework is based on agile deployment and modular construction, providing automated data construction, model fine-tuning and inference...

Fast GraphRAG: Highly Accurate and Low-Cost Graphical Retrieval Enhancement Generation Tool - Chief AI Sharing Circle

Fast GraphRAG: A Highly Accurate and Low-Cost Graphical Search Enhancement Generation Tool

Comprehensive Introduction Fast GraphRAG is an open source tool developed by Circlemind AI to enable efficient and accurate retrieval augmentation generation (RAG) through knowledge graph and PageRank algorithms. The tool intelligently adapts to the user's usage scenarios, data, and query requirements to provide interpretable, low-cost...

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