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...
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...
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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...
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...
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...
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 ...
General Introduction Airweave is an open source tool designed to make any application searchable by synchronizing a user's application data, APIs, databases, and websites to graph and vector databases.Airweave simplifies the process of making data searchable, whether it is structured or unstructured,...
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...
General Introduction Supermemory is an open source project designed to help users build their "second brain". With a powerful Chrome extension and AI technology, it allows users to easily save, organize, and retrieve information from a variety of sources such as web pages, Twitter bookmarks, etc. Supermemory ...
Comprehensive Introduction Deeptrain is a platform focusing on AI video processing, which can effectively integrate video content into various AI applications through its advanced technology that supports over 200 language models. Users can train models directly by providing video URLs without having to download the videos.Deeptrain provides...
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...
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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