Tags: knowledge retrieval with RAG framework Page 3

Comprehensive Introduction MaxKB (Max Knowledge Base) is an open source knowledge base Q&A system based on large language modeling and RAG (Retrieval Augmented Generation). The system is widely used in intelligent customer service, enterprise internal knowledge base, academic research and education and other scenarios.MaxKB supports direct upload documents or automatically crawl in...

Comprehensive Introduction MiniRAG is an extremely simple Retrieval Augmented Generation (RAG) framework that aims to enable good RAG performance even for small models through heterogeneous graph indexing and lightweight topology-enhanced retrieval. It is developed by the Hong Kong University Data Science Laboratory (HKUDS) and focuses on solving the Small Language Model (SLM...

General Introduction WikiChat is an experimental chatbot developed at Stanford University that aims to improve the factuality of large language models by retrieving data from Wikipedia. Large language models (such as ChatGPT and GPT-4) tend to make errors when dealing with up-to-date information or less popular topics.WikiCh...

Comprehensive Introduction Cognita is an open source framework developed by TrueFoundry to simplify the development of RAG (Retrieval-Augmented Generation) based applications. The framework provides a structured, modular solution that makes it easy to move RAG technology from the prototype stage to production...

Comprehensive Introduction Vortn is a platform focused on intelligent knowledge storage and management, providing users with personalized knowledge management services through AI agents and access control systems. The platform supports the use of AI chat functionality to provide intelligent responses based on context to help users better organize, access and utilize information. Its setup...

Comprehensive Introduction Vanna is an MIT-licensed open source Python framework focused on generating SQL queries through RAG (Retrieval Augmented Generation) techniques. Users can train RAG models, apply them to their own data, and then ask questions, and Vanna will return the appropriate SQL queries. These queries can be automatically in...

Comprehensive Introduction MetaLaw is an online platform focused on improving the efficiency of legal research. Through advanced AI technology, MetaLaw provides accurate class case search and analysis services to help legal practitioners quickly find relevant cases and conduct in-depth analysis. The platform's AI analysis assistant function makes legal research...

General Introduction Sana Labs is a company dedicated to improving the efficiency of knowledge acquisition and learning in organizations through AI technology. Headquartered in Stockholm, Sweden, Sana offers a range of products including Learning Management Systems (LMS), Learning Experience Platforms (LXP), AI assistants, and more to help organizations with employee training...

General Introduction Petal is an AI-based document analysis platform designed to help users efficiently manage and analyze documents. With Petal, users can link their knowledge base to the platform and generate fully documented and reliable answers.Petal supports multiple document types and provides automatic meta...

General Introduction Paperless-AI is an innovative document automation analysis tool designed specifically for the Paperless-ngx document management system. It skillfully combines the OpenAI API with a variety of advanced AI models such as Ollama (including Mistral, LLaMA, PHI-3 and Gemma 2),...

Comprehensive Introduction Vision-is-all-you-need is an innovative visual RAG (Retrieval Augmented Generation) system demo project that breaks new ground in applying Visual Language Modeling (VLM) to the document processing domain. Unlike traditional text chunking methods, the system uses visual language modeling directly to process the pages of a PDF file...

Comprehensive Introduction The Diffbot LLM Reasoning Server is an innovative large-scale language modeling system with special optimizations and improvements based on the LLama model architecture. The most important feature of the project is the combination of real-time Knowledge Graph and Retrieval Augmented Generation (RAG) technologies, creating a unique...

Comprehensive Introduction HtmlRAG is an innovative open source project focused on improving the processing of HTML documents in Retrieval Augmented Generation (RAG) systems. The project presents a novel approach that argues that using HTML formatting in RAG systems is more efficient than plain text. The project encompasses a complete data processing flow from the cha...

General Introduction YouMind is an AI authoring system powered by top-notch Large Language Models (LLMs) designed to help users extract and preserve important content from a wide range of materials, focusing on creation rather than simple collection. Whether browsing the web, watching YouTube videos, listening to podcasts, or uploading PDFs and images,...

In order for an AI model to be useful in a particular scenario, it usually needs access to background knowledge. For example, a customer support chatbot needs to understand the specific business it serves, while a legal analysis bot needs to have access to a large number of past cases. Developers often use Retrieval-Augmente...

Comprehensive Introduction SimGRAG (SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation) is a Knowledge Graphs Driven Retrieval-Augmented Generation (RAG) based approach. It aims to enhance similar subgraphs by utilizing ...

Comprehensive Introduction KAG (Knowledge Augmented Generation) is a logical form-guided reasoning and retrieval framework based on the OpenSPG engine and Large Language Models (LLMs). The framework is specialized in building logical reasoning and fact-questioning solutions for specialized domain knowledge bases, which can effectively overcome the traditional RAG...

General Introduction Glean is a work AI tool created by a team of Google search engineers. It integrates with multiple workplace apps and suites, such as Microsoft 365, Google Workspace, Salesforce, and Slack.Glean is a competitor to Microsoft Copilot...

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...